{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Riskfolio-Lib Tutorial: \n",
    "<br>__[Financionerioncios](https://financioneroncios.wordpress.com)__\n",
    "<br>__[Orenji](https://www.orenj-i.net)__\n",
    "<br>__[Riskfolio-Lib](https://riskfolio-lib.readthedocs.io/en/latest/)__\n",
    "<br>__[Dany Cajas](https://www.linkedin.com/in/dany-cajas/)__\n",
    "<a href='https://ko-fi.com/B0B833SXD' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://cdn.ko-fi.com/cdn/kofi1.png?v=2' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a> \n",
    "\n",
    "## Tutorial 5: Multi Assets Algorithmic Trading Backtesting with Backtrader\n",
    "\n",
    "For this tutorial we need matplotlib=3.2.2 because backtrader only works with this version of matplotlib. However, this version of matplotlib give us an error in plot_pie function.\n",
    "\n",
    "## 1. Downloading the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  26 of 26 completed\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"10\" halign=\"left\">Adj Close</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"10\" halign=\"left\">Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>SPY</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>88.158691</td>\n",
       "      <td>43.777546</td>\n",
       "      <td>25.378492</td>\n",
       "      <td>17.356012</td>\n",
       "      <td>6.769780</td>\n",
       "      <td>8.888045</td>\n",
       "      <td>23.553055</td>\n",
       "      <td>43.575466</td>\n",
       "      <td>17.548599</td>\n",
       "      <td>12.845307</td>\n",
       "      <td>...</td>\n",
       "      <td>2631700.0</td>\n",
       "      <td>1579100.0</td>\n",
       "      <td>920400.0</td>\n",
       "      <td>118944600.0</td>\n",
       "      <td>29136600.0</td>\n",
       "      <td>4589100.0</td>\n",
       "      <td>7182800.0</td>\n",
       "      <td>3630600.0</td>\n",
       "      <td>16176648.0</td>\n",
       "      <td>3974600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>89.199593</td>\n",
       "      <td>45.211334</td>\n",
       "      <td>25.204336</td>\n",
       "      <td>17.085142</td>\n",
       "      <td>6.678026</td>\n",
       "      <td>8.820710</td>\n",
       "      <td>23.594784</td>\n",
       "      <td>43.412235</td>\n",
       "      <td>17.622204</td>\n",
       "      <td>12.781564</td>\n",
       "      <td>...</td>\n",
       "      <td>2299300.0</td>\n",
       "      <td>1131000.0</td>\n",
       "      <td>831400.0</td>\n",
       "      <td>111579900.0</td>\n",
       "      <td>35234500.0</td>\n",
       "      <td>4760100.0</td>\n",
       "      <td>3221900.0</td>\n",
       "      <td>12121100.0</td>\n",
       "      <td>23722957.0</td>\n",
       "      <td>5605500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>90.598511</td>\n",
       "      <td>46.582783</td>\n",
       "      <td>25.291418</td>\n",
       "      <td>17.078375</td>\n",
       "      <td>6.630154</td>\n",
       "      <td>8.735015</td>\n",
       "      <td>23.330521</td>\n",
       "      <td>43.295647</td>\n",
       "      <td>17.458263</td>\n",
       "      <td>12.739059</td>\n",
       "      <td>...</td>\n",
       "      <td>3565000.0</td>\n",
       "      <td>832400.0</td>\n",
       "      <td>1334400.0</td>\n",
       "      <td>116074400.0</td>\n",
       "      <td>37894600.0</td>\n",
       "      <td>7217400.0</td>\n",
       "      <td>3065000.0</td>\n",
       "      <td>5598300.0</td>\n",
       "      <td>37506464.0</td>\n",
       "      <td>12615200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>89.224564</td>\n",
       "      <td>48.468563</td>\n",
       "      <td>25.700678</td>\n",
       "      <td>17.091913</td>\n",
       "      <td>6.769780</td>\n",
       "      <td>8.820710</td>\n",
       "      <td>22.975876</td>\n",
       "      <td>43.606552</td>\n",
       "      <td>17.464958</td>\n",
       "      <td>12.831143</td>\n",
       "      <td>...</td>\n",
       "      <td>2455700.0</td>\n",
       "      <td>1284100.0</td>\n",
       "      <td>1394900.0</td>\n",
       "      <td>131091100.0</td>\n",
       "      <td>33600300.0</td>\n",
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       "      <td>2638300.0</td>\n",
       "      <td>5196100.0</td>\n",
       "      <td>25508242.0</td>\n",
       "      <td>24716800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>88.758247</td>\n",
       "      <td>48.001015</td>\n",
       "      <td>25.761629</td>\n",
       "      <td>16.807497</td>\n",
       "      <td>6.749832</td>\n",
       "      <td>8.716649</td>\n",
       "      <td>22.829840</td>\n",
       "      <td>44.795830</td>\n",
       "      <td>17.595438</td>\n",
       "      <td>12.873639</td>\n",
       "      <td>...</td>\n",
       "      <td>2404300.0</td>\n",
       "      <td>1281100.0</td>\n",
       "      <td>702900.0</td>\n",
       "      <td>126402800.0</td>\n",
       "      <td>27633400.0</td>\n",
       "      <td>6512800.0</td>\n",
       "      <td>3162200.0</td>\n",
       "      <td>4104000.0</td>\n",
       "      <td>20658308.0</td>\n",
       "      <td>6903000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 156 columns</p>\n",
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      ],
      "text/plain": [
       "            Adj Close                                                       \\\n",
       "                  APA         BA        BAX        BMY     CMCSA       CNP   \n",
       "Date                                                                         \n",
       "2010-01-04  88.158691  43.777546  25.378492  17.356012  6.769780  8.888045   \n",
       "2010-01-05  89.199593  45.211334  25.204336  17.085142  6.678026  8.820710   \n",
       "2010-01-06  90.598511  46.582783  25.291418  17.078375  6.630154  8.735015   \n",
       "2010-01-07  89.224564  48.468563  25.700678  17.091913  6.769780  8.820710   \n",
       "2010-01-08  88.758247  48.001015  25.761629  16.807497  6.749832  8.716649   \n",
       "\n",
       "                                                        ...     Volume  \\\n",
       "                  CPB         DE        HPQ        JCI  ...       PCAR   \n",
       "Date                                                    ...              \n",
       "2010-01-04  23.553055  43.575466  17.548599  12.845307  ...  2631700.0   \n",
       "2010-01-05  23.594784  43.412235  17.622204  12.781564  ...  2299300.0   \n",
       "2010-01-06  23.330521  43.295647  17.458263  12.739059  ...  3565000.0   \n",
       "2010-01-07  22.975876  43.606552  17.464958  12.831143  ...  2455700.0   \n",
       "2010-01-08  22.829840  44.795830  17.595438  12.873639  ...  2404300.0   \n",
       "\n",
       "                                                                       \\\n",
       "                  PSA        SEE          SPY           T         TGT   \n",
       "Date                                                                    \n",
       "2010-01-04  1579100.0   920400.0  118944600.0  29136600.0   4589100.0   \n",
       "2010-01-05  1131000.0   831400.0  111579900.0  35234500.0   4760100.0   \n",
       "2010-01-06   832400.0  1334400.0  116074400.0  37894600.0   7217400.0   \n",
       "2010-01-07  1284100.0  1394900.0  131091100.0  33600300.0  12531000.0   \n",
       "2010-01-08  1281100.0   702900.0  126402800.0  27633400.0   6512800.0   \n",
       "\n",
       "                                                           \n",
       "                  TMO         TXT          VZ        ZION  \n",
       "Date                                                       \n",
       "2010-01-04  7182800.0   3630600.0  16176648.0   3974600.0  \n",
       "2010-01-05  3221900.0  12121100.0  23722957.0   5605500.0  \n",
       "2010-01-06  3065000.0   5598300.0  37506464.0  12615200.0  \n",
       "2010-01-07  2638300.0   5196100.0  25508242.0  24716800.0  \n",
       "2010-01-08  3162200.0   4104000.0  20658308.0   6903000.0  \n",
       "\n",
       "[5 rows x 156 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import datetime\n",
    "import yfinance as yf\n",
    "import backtrader as bt\n",
    "import numpy as np\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "# Date range\n",
    "start = '2010-01-01'\n",
    "end = '2020-12-31'\n",
    "\n",
    "# Tickers of assets\n",
    "assets = ['JCI', 'TGT', 'CMCSA', 'CPB', 'MO', 'APA', 'MMC', 'JPM',\n",
    "          'ZION', 'PSA', 'BAX', 'BMY', 'LUV', 'PCAR', 'TXT', 'TMO',\n",
    "          'DE', 'MSFT', 'HPQ', 'SEE', 'VZ', 'CNP', 'NI', 'T', 'BA','SPY']\n",
    "assets.sort()\n",
    "\n",
    "# Downloading data\n",
    "prices = yf.download(assets, start=start, end=end)\n",
    "display(prices.head())\n",
    "prices = prices.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th colspan=\"10\" halign=\"left\">Adj Close</th>\n",
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       "      <th></th>\n",
       "      <th>APA</th>\n",
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       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
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       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
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       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>88.158691</td>\n",
       "      <td>43.777546</td>\n",
       "      <td>25.378492</td>\n",
       "      <td>17.356012</td>\n",
       "      <td>6.769780</td>\n",
       "      <td>8.888045</td>\n",
       "      <td>23.553055</td>\n",
       "      <td>43.575466</td>\n",
       "      <td>17.548599</td>\n",
       "      <td>12.845307</td>\n",
       "      <td>...</td>\n",
       "      <td>2631700.0</td>\n",
       "      <td>1579100.0</td>\n",
       "      <td>920400.0</td>\n",
       "      <td>118944600.0</td>\n",
       "      <td>29136600.0</td>\n",
       "      <td>4589100.0</td>\n",
       "      <td>7182800.0</td>\n",
       "      <td>3630600.0</td>\n",
       "      <td>16176648.0</td>\n",
       "      <td>3974600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>89.199593</td>\n",
       "      <td>45.211334</td>\n",
       "      <td>25.204336</td>\n",
       "      <td>17.085142</td>\n",
       "      <td>6.678026</td>\n",
       "      <td>8.820710</td>\n",
       "      <td>23.594784</td>\n",
       "      <td>43.412235</td>\n",
       "      <td>17.622204</td>\n",
       "      <td>12.781564</td>\n",
       "      <td>...</td>\n",
       "      <td>2299300.0</td>\n",
       "      <td>1131000.0</td>\n",
       "      <td>831400.0</td>\n",
       "      <td>111579900.0</td>\n",
       "      <td>35234500.0</td>\n",
       "      <td>4760100.0</td>\n",
       "      <td>3221900.0</td>\n",
       "      <td>12121100.0</td>\n",
       "      <td>23722957.0</td>\n",
       "      <td>5605500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>90.598511</td>\n",
       "      <td>46.582783</td>\n",
       "      <td>25.291418</td>\n",
       "      <td>17.078375</td>\n",
       "      <td>6.630154</td>\n",
       "      <td>8.735015</td>\n",
       "      <td>23.330521</td>\n",
       "      <td>43.295647</td>\n",
       "      <td>17.458263</td>\n",
       "      <td>12.739059</td>\n",
       "      <td>...</td>\n",
       "      <td>3565000.0</td>\n",
       "      <td>832400.0</td>\n",
       "      <td>1334400.0</td>\n",
       "      <td>116074400.0</td>\n",
       "      <td>37894600.0</td>\n",
       "      <td>7217400.0</td>\n",
       "      <td>3065000.0</td>\n",
       "      <td>5598300.0</td>\n",
       "      <td>37506464.0</td>\n",
       "      <td>12615200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>89.224564</td>\n",
       "      <td>48.468563</td>\n",
       "      <td>25.700678</td>\n",
       "      <td>17.091913</td>\n",
       "      <td>6.769780</td>\n",
       "      <td>8.820710</td>\n",
       "      <td>22.975876</td>\n",
       "      <td>43.606552</td>\n",
       "      <td>17.464958</td>\n",
       "      <td>12.831143</td>\n",
       "      <td>...</td>\n",
       "      <td>2455700.0</td>\n",
       "      <td>1284100.0</td>\n",
       "      <td>1394900.0</td>\n",
       "      <td>131091100.0</td>\n",
       "      <td>33600300.0</td>\n",
       "      <td>12531000.0</td>\n",
       "      <td>2638300.0</td>\n",
       "      <td>5196100.0</td>\n",
       "      <td>25508242.0</td>\n",
       "      <td>24716800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>88.758247</td>\n",
       "      <td>48.001015</td>\n",
       "      <td>25.761629</td>\n",
       "      <td>16.807497</td>\n",
       "      <td>6.749832</td>\n",
       "      <td>8.716649</td>\n",
       "      <td>22.829840</td>\n",
       "      <td>44.795830</td>\n",
       "      <td>17.595438</td>\n",
       "      <td>12.873639</td>\n",
       "      <td>...</td>\n",
       "      <td>2404300.0</td>\n",
       "      <td>1281100.0</td>\n",
       "      <td>702900.0</td>\n",
       "      <td>126402800.0</td>\n",
       "      <td>27633400.0</td>\n",
       "      <td>6512800.0</td>\n",
       "      <td>3162200.0</td>\n",
       "      <td>4104000.0</td>\n",
       "      <td>20658308.0</td>\n",
       "      <td>6903000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 156 columns</p>\n",
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      ],
      "text/plain": [
       "            Adj Close                                                       \\\n",
       "                  APA         BA        BAX        BMY     CMCSA       CNP   \n",
       "Date                                                                         \n",
       "2010-01-04  88.158691  43.777546  25.378492  17.356012  6.769780  8.888045   \n",
       "2010-01-05  89.199593  45.211334  25.204336  17.085142  6.678026  8.820710   \n",
       "2010-01-06  90.598511  46.582783  25.291418  17.078375  6.630154  8.735015   \n",
       "2010-01-07  89.224564  48.468563  25.700678  17.091913  6.769780  8.820710   \n",
       "2010-01-08  88.758247  48.001015  25.761629  16.807497  6.749832  8.716649   \n",
       "\n",
       "                                                        ...     Volume  \\\n",
       "                  CPB         DE        HPQ        JCI  ...       PCAR   \n",
       "Date                                                    ...              \n",
       "2010-01-04  23.553055  43.575466  17.548599  12.845307  ...  2631700.0   \n",
       "2010-01-05  23.594784  43.412235  17.622204  12.781564  ...  2299300.0   \n",
       "2010-01-06  23.330521  43.295647  17.458263  12.739059  ...  3565000.0   \n",
       "2010-01-07  22.975876  43.606552  17.464958  12.831143  ...  2455700.0   \n",
       "2010-01-08  22.829840  44.795830  17.595438  12.873639  ...  2404300.0   \n",
       "\n",
       "                                                                       \\\n",
       "                  PSA        SEE          SPY           T         TGT   \n",
       "Date                                                                    \n",
       "2010-01-04  1579100.0   920400.0  118944600.0  29136600.0   4589100.0   \n",
       "2010-01-05  1131000.0   831400.0  111579900.0  35234500.0   4760100.0   \n",
       "2010-01-06   832400.0  1334400.0  116074400.0  37894600.0   7217400.0   \n",
       "2010-01-07  1284100.0  1394900.0  131091100.0  33600300.0  12531000.0   \n",
       "2010-01-08  1281100.0   702900.0  126402800.0  27633400.0   6512800.0   \n",
       "\n",
       "                                                           \n",
       "                  TMO         TXT          VZ        ZION  \n",
       "Date                                                       \n",
       "2010-01-04  7182800.0   3630600.0  16176648.0   3974600.0  \n",
       "2010-01-05  3221900.0  12121100.0  23722957.0   5605500.0  \n",
       "2010-01-06  3065000.0   5598300.0  37506464.0  12615200.0  \n",
       "2010-01-07  2638300.0   5196100.0  25508242.0  24716800.0  \n",
       "2010-01-08  3162200.0   4104000.0  20658308.0   6903000.0  \n",
       "\n",
       "[5 rows x 156 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Showing data\n",
    "############################################################\n",
    "\n",
    "display(prices.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Building the Backtest Function with Backtrader\n",
    "\n",
    "### 2.1 Defining Backtest Function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "############################################################\n",
    "# Defining the backtest function \n",
    "############################################################\n",
    "\n",
    "def backtest(datas, strategy, start, end, plot=False, **kwargs):\n",
    "    cerebro = bt.Cerebro()\n",
    "\n",
    "    # Here we add transaction costs and other broker costs\n",
    "    cerebro.broker.setcash(1000000.0)\n",
    "    cerebro.broker.setcommission(commission=0.005) # Commission 0.5%\n",
    "    cerebro.broker.set_slippage_perc(0.005, # Slippage 0.5%\n",
    "                                     slip_open=True,\n",
    "                                     slip_limit=True,\n",
    "                                     slip_match=True,\n",
    "                                     slip_out=False)\n",
    "    for data in datas:\n",
    "        cerebro.adddata(data)\n",
    "\n",
    "    # Here we add the indicators that we are going to store\n",
    "    cerebro.addanalyzer(bt.analyzers.SharpeRatio, riskfreerate=0.0)\n",
    "    cerebro.addanalyzer(bt.analyzers.Returns)\n",
    "    cerebro.addanalyzer(bt.analyzers.DrawDown)\n",
    "    cerebro.addstrategy(strategy, **kwargs)\n",
    "    cerebro.addobserver(bt.observers.Value)\n",
    "    cerebro.addobserver(bt.observers.DrawDown)\n",
    "    results = cerebro.run(stdstats=False)\n",
    "    if plot:\n",
    "        cerebro.plot(iplot=False, start=start, end=end)\n",
    "    return (results[0].analyzers.drawdown.get_analysis()['max']['drawdown'],\n",
    "            results[0].analyzers.returns.get_analysis()['rnorm100'],\n",
    "            results[0].analyzers.sharperatio.get_analysis()['sharperatio'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Building Data Feeds for Backtesting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Open</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>113.330002</td>\n",
       "      <td>113.389999</td>\n",
       "      <td>111.510002</td>\n",
       "      <td>112.370003</td>\n",
       "      <td>118944600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>113.629997</td>\n",
       "      <td>113.680000</td>\n",
       "      <td>112.849998</td>\n",
       "      <td>113.260002</td>\n",
       "      <td>111579900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>113.709999</td>\n",
       "      <td>113.989998</td>\n",
       "      <td>113.430000</td>\n",
       "      <td>113.519997</td>\n",
       "      <td>116074400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>114.190002</td>\n",
       "      <td>114.330002</td>\n",
       "      <td>113.180000</td>\n",
       "      <td>113.500000</td>\n",
       "      <td>131091100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>114.570000</td>\n",
       "      <td>114.620003</td>\n",
       "      <td>113.660004</td>\n",
       "      <td>113.889999</td>\n",
       "      <td>126402800.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Close        High         Low        Open       Volume\n",
       "Date                                                                   \n",
       "2010-01-04  113.330002  113.389999  111.510002  112.370003  118944600.0\n",
       "2010-01-05  113.629997  113.680000  112.849998  113.260002  111579900.0\n",
       "2010-01-06  113.709999  113.989998  113.430000  113.519997  116074400.0\n",
       "2010-01-07  114.190002  114.330002  113.180000  113.500000  131091100.0\n",
       "2010-01-08  114.570000  114.620003  113.660004  113.889999  126402800.0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Create objects that contain the prices of assets\n",
    "############################################################\n",
    "\n",
    "# Creating Assets bt.feeds\n",
    "assets_prices = []\n",
    "for i in assets:\n",
    "    if i != 'SPY':\n",
    "        prices_ = prices.drop(columns='Adj Close').loc[:, (slice(None), i)].dropna()\n",
    "        prices_.columns = ['Close', 'High', 'Low', 'Open', 'Volume']\n",
    "        assets_prices.append(bt.feeds.PandasData(dataname=prices_, plot=False))\n",
    "\n",
    "# Creating Benchmark bt.feeds        \n",
    "prices_ = prices.drop(columns='Adj Close').loc[:, (slice(None), 'SPY')].dropna()\n",
    "prices_.columns = ['Close', 'High', 'Low', 'Open', 'Volume']\n",
    "benchmark = bt.feeds.PandasData(dataname=prices_, plot=False)\n",
    "\n",
    "display(prices_.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Building Strategies with Backtrader\n",
    "\n",
    "### 3.1 Buy and Hold SPY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "############################################################\n",
    "# Building the Buy and Hold strategy\n",
    "############################################################\n",
    "\n",
    "class BuyAndHold(bt.Strategy):\n",
    "\n",
    "    def __init__(self):\n",
    "        self.counter = 0\n",
    "\n",
    "    def next(self):\n",
    "        if self.counter >= 1004:\n",
    "            if self.getposition(self.data).size == 0:\n",
    "                self.order_target_percent(self.data, target=0.99)\n",
    "        self.counter += 1 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you have an error related to 'warnings' modules when you try to plot, you must modify the 'locator.py' file from backtrader library following the instructions in this __[link](https://community.backtrader.com/topic/981/importerror-cannot-import-name-min_per_hour-when-trying-to-plot/8)__."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Run the backtest for the selected period\n",
    "############################################################\n",
    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams[\"figure.figsize\"] = (10, 6) # (w, h)\n",
    "plt.plot() # We need to do this to avoid errors in inline plot\n",
    "\n",
    "start = 1004\n",
    "end = prices.shape[0] - 1\n",
    "\n",
    "dd, cagr, sharpe = backtest([benchmark],\n",
    "                            BuyAndHold,\n",
    "                            start=start,\n",
    "                            end=end,\n",
    "                            plot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max Drawdown: 34.10%\n",
      "CAGR: 6.53%\n",
      "Sharpe: 0.679\n"
     ]
    }
   ],
   "source": [
    "############################################################\n",
    "# Show Buy and Hold Strategy Stats \n",
    "############################################################\n",
    "\n",
    "print(f\"Max Drawdown: {dd:.2f}%\")\n",
    "print(f\"CAGR: {cagr:.2f}%\")\n",
    "print(f\"Sharpe: {sharpe:.3f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 Rebalancing Quarterly using Riskfolio-Lib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>1.1807%</td>\n",
       "      <td>3.2752%</td>\n",
       "      <td>-0.6862%</td>\n",
       "      <td>-1.5607%</td>\n",
       "      <td>-1.3553%</td>\n",
       "      <td>-0.7576%</td>\n",
       "      <td>0.1772%</td>\n",
       "      <td>-0.3746%</td>\n",
       "      <td>0.4194%</td>\n",
       "      <td>-0.4962%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.2579%</td>\n",
       "      <td>1.8028%</td>\n",
       "      <td>0.8237%</td>\n",
       "      <td>-1.0445%</td>\n",
       "      <td>-0.4899%</td>\n",
       "      <td>0.3707%</td>\n",
       "      <td>0.3368%</td>\n",
       "      <td>-1.8908%</td>\n",
       "      <td>0.1803%</td>\n",
       "      <td>3.5259%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>1.5683%</td>\n",
       "      <td>3.0334%</td>\n",
       "      <td>0.3455%</td>\n",
       "      <td>-0.0396%</td>\n",
       "      <td>-0.7169%</td>\n",
       "      <td>-0.9715%</td>\n",
       "      <td>-1.1200%</td>\n",
       "      <td>-0.2686%</td>\n",
       "      <td>-0.9303%</td>\n",
       "      <td>-0.3325%</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.1635%</td>\n",
       "      <td>1.3147%</td>\n",
       "      <td>-0.6065%</td>\n",
       "      <td>-1.9275%</td>\n",
       "      <td>-1.4633%</td>\n",
       "      <td>1.9084%</td>\n",
       "      <td>0.9442%</td>\n",
       "      <td>3.4797%</td>\n",
       "      <td>-2.8754%</td>\n",
       "      <td>8.6956%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>-1.5165%</td>\n",
       "      <td>4.0482%</td>\n",
       "      <td>1.6182%</td>\n",
       "      <td>0.0793%</td>\n",
       "      <td>2.1059%</td>\n",
       "      <td>0.9811%</td>\n",
       "      <td>-1.5201%</td>\n",
       "      <td>0.7181%</td>\n",
       "      <td>0.0383%</td>\n",
       "      <td>0.7228%</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.2427%</td>\n",
       "      <td>1.3241%</td>\n",
       "      <td>-0.1370%</td>\n",
       "      <td>1.0295%</td>\n",
       "      <td>-1.1228%</td>\n",
       "      <td>1.2284%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>4.4490%</td>\n",
       "      <td>-0.5952%</td>\n",
       "      <td>11.2000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>-0.5226%</td>\n",
       "      <td>-0.9646%</td>\n",
       "      <td>0.2372%</td>\n",
       "      <td>-1.6640%</td>\n",
       "      <td>-0.2947%</td>\n",
       "      <td>-1.1797%</td>\n",
       "      <td>-0.6356%</td>\n",
       "      <td>2.7273%</td>\n",
       "      <td>0.7471%</td>\n",
       "      <td>0.3312%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.5298%</td>\n",
       "      <td>0.1307%</td>\n",
       "      <td>-1.8207%</td>\n",
       "      <td>0.4169%</td>\n",
       "      <td>-0.7326%</td>\n",
       "      <td>-0.3978%</td>\n",
       "      <td>1.6836%</td>\n",
       "      <td>0.9411%</td>\n",
       "      <td>0.0631%</td>\n",
       "      <td>-1.6187%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-11</th>\n",
       "      <td>0.3002%</td>\n",
       "      <td>-1.1851%</td>\n",
       "      <td>-0.5746%</td>\n",
       "      <td>1.0476%</td>\n",
       "      <td>-0.6501%</td>\n",
       "      <td>0.7022%</td>\n",
       "      <td>0.3046%</td>\n",
       "      <td>4.0257%</td>\n",
       "      <td>-0.3042%</td>\n",
       "      <td>2.5860%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.2650%</td>\n",
       "      <td>1.6445%</td>\n",
       "      <td>0.6859%</td>\n",
       "      <td>-0.0461%</td>\n",
       "      <td>-0.4797%</td>\n",
       "      <td>0.2197%</td>\n",
       "      <td>1.1856%</td>\n",
       "      <td>5.3484%</td>\n",
       "      <td>0.4094%</td>\n",
       "      <td>0.6094%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                APA       BA      BAX      BMY    CMCSA      CNP      CPB  \\\n",
       "Date                                                                        \n",
       "2010-01-05  1.1807%  3.2752% -0.6862% -1.5607% -1.3553% -0.7576%  0.1772%   \n",
       "2010-01-06  1.5683%  3.0334%  0.3455% -0.0396% -0.7169% -0.9715% -1.1200%   \n",
       "2010-01-07 -1.5165%  4.0482%  1.6182%  0.0793%  2.1059%  0.9811% -1.5201%   \n",
       "2010-01-08 -0.5226% -0.9646%  0.2372% -1.6640% -0.2947% -1.1797% -0.6356%   \n",
       "2010-01-11  0.3002% -1.1851% -0.5746%  1.0476% -0.6501%  0.7022%  0.3046%   \n",
       "\n",
       "                 DE      HPQ      JCI  ...       NI    PCAR      PSA      SEE  \\\n",
       "Date                                   ...                                      \n",
       "2010-01-05 -0.3746%  0.4194% -0.4962%  ... -0.2579% 1.8028%  0.8237% -1.0445%   \n",
       "2010-01-06 -0.2686% -0.9303% -0.3325%  ... -1.1635% 1.3147% -0.6065% -1.9275%   \n",
       "2010-01-07  0.7181%  0.0383%  0.7228%  ... -1.2427% 1.3241% -0.1370%  1.0295%   \n",
       "2010-01-08  2.7273%  0.7471%  0.3312%  ... -0.5298% 0.1307% -1.8207%  0.4169%   \n",
       "2010-01-11  4.0257% -0.3042%  2.5860%  ...  1.2650% 1.6445%  0.6859% -0.0461%   \n",
       "\n",
       "                  T      TGT     TMO      TXT       VZ     ZION  \n",
       "Date                                                             \n",
       "2010-01-05 -0.4899%  0.3707% 0.3368% -1.8908%  0.1803%  3.5259%  \n",
       "2010-01-06 -1.4633%  1.9084% 0.9442%  3.4797% -2.8754%  8.6956%  \n",
       "2010-01-07 -1.1228%  1.2284% 0.0000%  4.4490% -0.5952% 11.2000%  \n",
       "2010-01-08 -0.7326% -0.3978% 1.6836%  0.9411%  0.0631% -1.6187%  \n",
       "2010-01-11 -0.4797%  0.2197% 1.1856%  5.3484%  0.4094%  0.6094%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Calculate assets returns\n",
    "############################################################\n",
    "\n",
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "\n",
    "data = prices.loc[:, ('Adj Close', slice(None))]\n",
    "data.columns = assets\n",
    "data = data.drop(columns=['SPY']).dropna()\n",
    "returns = data.pct_change().dropna()\n",
    "display(returns.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "############################################################\n",
    "# Selecting Dates for Rebalancing\n",
    "############################################################\n",
    "\n",
    "# Selecting last day of month of available data\n",
    "index = returns.groupby([returns.index.year, returns.index.month]).tail(1).index\n",
    "index_2 = returns.index\n",
    "\n",
    "# Quarterly Dates\n",
    "index = [x for x in index if float(x.month) % 3.0 == 0 ] \n",
    "\n",
    "# Dates where the strategy will be backtested\n",
    "index_ = [index_2.get_loc(x) for x in index if index_2.get_loc(x) > 1000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Disabled</th>\n",
       "      <th>Type</th>\n",
       "      <th>Set</th>\n",
       "      <th>Position</th>\n",
       "      <th>Sign</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Type Relative</th>\n",
       "      <th>Relative Set</th>\n",
       "      <th>Relative</th>\n",
       "      <th>Factor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>False</td>\n",
       "      <td>All Assets</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>&lt;=</td>\n",
       "      <td>10.0000%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>All Classes</td>\n",
       "      <td>Industry</td>\n",
       "      <td></td>\n",
       "      <td>&lt;=</td>\n",
       "      <td>20.0000%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>All Classes</td>\n",
       "      <td>Industry</td>\n",
       "      <td></td>\n",
       "      <td>&gt;=</td>\n",
       "      <td>3.0000%</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Disabled         Type       Set Position Sign   Weight Type Relative  \\\n",
       "0     False   All Assets                      <= 10.0000%                 \n",
       "1     False  All Classes  Industry            <= 20.0000%                 \n",
       "2     False  All Classes  Industry            >=  3.0000%                 \n",
       "\n",
       "  Relative Set Relative Factor  \n",
       "0                               \n",
       "1                               \n",
       "2                               "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Building Constraints\n",
    "############################################################\n",
    "\n",
    "asset_classes = {'Assets': ['JCI','TGT','CMCSA','CPB','MO','APA','MMC','JPM',\n",
    "                            'ZION','PSA','BAX','BMY','LUV','PCAR','TXT','TMO',\n",
    "                            'DE','MSFT','HPQ','SEE','VZ','CNP','NI','T','BA'], \n",
    "                 'Industry': ['Consumer Discretionary','Consumer Discretionary',\n",
    "                              'Consumer Discretionary', 'Consumer Staples',\n",
    "                              'Consumer Staples','Energy','Financials',\n",
    "                              'Financials','Financials','Financials',\n",
    "                              'Health Care','Health Care','Industrials','Industrials',\n",
    "                              'Industrials','Health care','Industrials',\n",
    "                              'Information Technology','Information Technology',\n",
    "                              'Materials','Telecommunications Services','Utilities',\n",
    "                              'Utilities','Telecommunications Services','Financials']}\n",
    "\n",
    "asset_classes = pd.DataFrame(asset_classes)\n",
    "asset_classes = asset_classes.sort_values(by=['Assets'])\n",
    "\n",
    "constraints = {'Disabled': [False, False, False],\n",
    "               'Type': ['All Assets', 'All Classes', 'All Classes'],\n",
    "               'Set': ['', 'Industry', 'Industry'],\n",
    "               'Position': ['', '', ''],\n",
    "               'Sign': ['<=', '<=', '>='],\n",
    "               'Weight': [0.10, 0.20, 0.03],\n",
    "               'Type Relative': ['', '', ''],\n",
    "               'Relative Set': ['', '', ''],\n",
    "               'Relative': ['', '', ''],\n",
    "               'Factor': ['', '', '']}\n",
    "\n",
    "constraints = pd.DataFrame(constraints)\n",
    "\n",
    "display(constraints)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "############################################################\n",
    "# Building constraint matrixes for Riskfolio Lib\n",
    "############################################################\n",
    "\n",
    "import riskfolio as rp\n",
    "\n",
    "A, B = rp.assets_constraints(constraints, asset_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 7min 32s, sys: 25 s, total: 7min 58s\n",
      "Wall time: 8min 28s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "############################################################\n",
    "# Building a loop that estimate optimal portfolios on\n",
    "# rebalancing dates\n",
    "############################################################\n",
    "\n",
    "models = {}\n",
    "\n",
    "# rms = ['MV', 'MAD', 'MSV', 'FLPM', 'SLPM',\n",
    "#        'CVaR', 'WR', 'MDD', 'ADD', 'CDaR']\n",
    "\n",
    "rms = ['MV', 'CVaR', 'WR', 'CDaR']\n",
    "\n",
    "for j in rms:\n",
    "    \n",
    "    weights = pd.DataFrame([])\n",
    "\n",
    "    for i in index_:\n",
    "        Y = returns.iloc[i-1000:i,:] # taking last 4 years (250 trading days per year)\n",
    "\n",
    "        # Building the portfolio object\n",
    "        port = rp.Portfolio(returns=Y)\n",
    "        \n",
    "        # Add portfolio constraints\n",
    "        port.ainequality = A\n",
    "        port.binequality = B\n",
    "        \n",
    "        # Calculating optimum portfolio\n",
    "\n",
    "        # Select method and estimate input parameters:\n",
    "\n",
    "        method_mu='hist' # Method to estimate expected returns based on historical data.\n",
    "        method_cov='hist' # Method to estimate covariance matrix based on historical data.\n",
    "\n",
    "        port.assets_stats(method_mu=method_mu, method_cov=method_cov, d=0.94)\n",
    "        \n",
    "        # Estimate optimal portfolio:\n",
    "        \n",
    "        port.solvers = ['MOSEK']\n",
    "        port.alpha = 0.05\n",
    "        model='Classic' # Could be Classic (historical), BL (Black Litterman) or FM (Factor Model)\n",
    "        rm = j # Risk measure used, this time will be variance\n",
    "        obj = 'Sharpe' # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "        hist = True # Use historical scenarios for risk measures that depend on scenarios\n",
    "        rf = 0 # Risk free rate\n",
    "        l = 0 # Risk aversion factor, only useful when obj is 'Utility'\n",
    "\n",
    "        w = port.optimization(model=model, rm=rm, obj=obj, rf=rf, l=l, hist=hist)\n",
    "\n",
    "        if w is None:\n",
    "            w = weights.tail(1).T\n",
    "        weights = pd.concat([weights, w.T], axis = 0)\n",
    "    \n",
    "    models[j] = weights.copy()\n",
    "    models[j].index = index_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "############################################################\n",
    "# Building the Asset Allocation Class\n",
    "############################################################\n",
    "\n",
    "class AssetAllocation(bt.Strategy):\n",
    "\n",
    "    def __init__(self):\n",
    "\n",
    "        j = 0\n",
    "        for i in assets:\n",
    "            setattr(self, i, self.datas[j])\n",
    "            j += 1\n",
    "        \n",
    "        self.counter = 0\n",
    "        \n",
    "    def next(self):\n",
    "        if self.counter in weights.index.tolist():\n",
    "            for i in assets:\n",
    "                w = weights.loc[self.counter, i]\n",
    "                self.order_target_percent(getattr(self, i), target=w)\n",
    "        self.counter += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Backtesting Mean Variance Strategy\n",
    "############################################################\n",
    "\n",
    "assets = returns.columns.tolist()\n",
    "weights = models['MV']\n",
    "\n",
    "dd, cagr, sharpe = backtest(assets_prices,\n",
    "                            AssetAllocation,\n",
    "                            start=start,\n",
    "                            end=end,\n",
    "                            plot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max Drawdown: 32.80%\n",
      "CAGR: 5.68%\n",
      "Sharpe: 0.701\n"
     ]
    }
   ],
   "source": [
    "############################################################\n",
    "# Show Mean Variance Strategy Stats \n",
    "############################################################\n",
    "\n",
    "print(f\"Max Drawdown: {dd:.2f}%\")\n",
    "print(f\"CAGR: {cagr:.2f}%\")\n",
    "print(f\"Sharpe: {sharpe:.3f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x7ff13505e220>],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Plotting the composition of the last MV portfolio\n",
    "############################################################\n",
    "\n",
    "w = pd.DataFrame(models['MV'].iloc[-1,:])\n",
    "\n",
    "# We need matplotlib >= 3.3.0 to use this function\n",
    "#ax = rp.plot_pie(w=w, title='Sharpe Mean Variance', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "#                 height=6, width=10, ax=None)\n",
    "\n",
    "w.plot.pie(subplots=True, figsize=(8, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>weights</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Industry</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Consumer Discretionary</th>\n",
       "      <td>18.2680%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Consumer Staples</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energy</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Financials</th>\n",
       "      <td>11.6790%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health Care</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health care</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Industrials</th>\n",
       "      <td>10.3567%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information Technology</th>\n",
       "      <td>17.6964%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Materials</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Telecommunications Services</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utilities</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             weights\n",
       "Industry                            \n",
       "Consumer Discretionary      18.2680%\n",
       "Consumer Staples             3.0000%\n",
       "Energy                       3.0000%\n",
       "Financials                  11.6790%\n",
       "Health Care                 10.0000%\n",
       "Health care                 10.0000%\n",
       "Industrials                 10.3567%\n",
       "Information Technology      17.6964%\n",
       "Materials                    3.0000%\n",
       "Telecommunications Services 10.0000%\n",
       "Utilities                    3.0000%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Composition per Industry\n",
    "############################################################\n",
    "\n",
    "w_classes = pd.concat([asset_classes.set_index('Assets'), w], axis=1)\n",
    "w_classes = w_classes.groupby(['Industry']).sum()\n",
    "w_classes.columns = ['weights']\n",
    "display(w_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Backtesting Mean CVaR Strategy\n",
    "############################################################\n",
    "\n",
    "assets = returns.columns.tolist()\n",
    "weights = models['CVaR']\n",
    "\n",
    "dd, cagr, sharpe = backtest(assets_prices,\n",
    "                            AssetAllocation,\n",
    "                            start=start,\n",
    "                            end=end,\n",
    "                            plot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max Drawdown: 31.77%\n",
      "CAGR: 5.73%\n",
      "Sharpe: 0.694\n"
     ]
    }
   ],
   "source": [
    "############################################################\n",
    "# Show CVaR Strategy Stats \n",
    "############################################################\n",
    "\n",
    "print(f\"Max Drawdown: {dd:.2f}%\")\n",
    "print(f\"CAGR: {cagr:.2f}%\")\n",
    "print(f\"Sharpe: {sharpe:.3f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x7ff134d87340>],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Plotting the composition of the last CVaR portfolio\n",
    "############################################################\n",
    "\n",
    "w = pd.DataFrame(models['CVaR'].iloc[-1,:])\n",
    "\n",
    "# We need matplotlib >= 3.3.0 to use this function\n",
    "#ax = rp.plot_pie(w=w, title='Sharpe Mean CVaR', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "#                 height=6, width=10, ax=None)\n",
    "\n",
    "w.plot.pie(subplots=True, figsize=(8, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>weights</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Industry</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Consumer Discretionary</th>\n",
       "      <td>12.6708%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Consumer Staples</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energy</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Financials</th>\n",
       "      <td>20.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health Care</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health care</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Industrials</th>\n",
       "      <td>10.3198%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information Technology</th>\n",
       "      <td>15.0093%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Materials</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Telecommunications Services</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utilities</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             weights\n",
       "Industry                            \n",
       "Consumer Discretionary      12.6708%\n",
       "Consumer Staples             3.0000%\n",
       "Energy                       3.0000%\n",
       "Financials                  20.0000%\n",
       "Health Care                 10.0000%\n",
       "Health care                 10.0000%\n",
       "Industrials                 10.3198%\n",
       "Information Technology      15.0093%\n",
       "Materials                    3.0000%\n",
       "Telecommunications Services 10.0000%\n",
       "Utilities                    3.0000%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Composition per Industry\n",
    "############################################################\n",
    "\n",
    "w_classes = pd.concat([asset_classes.set_index('Assets'), w], axis=1)\n",
    "w_classes = w_classes.groupby(['Industry']).sum()\n",
    "w_classes.columns = ['weights']\n",
    "display(w_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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y5Uoee+wxHnvsMQCefPJJpkyZwurVq7FYLGzcuBGApUuX+s7Ro0ePavtJn3rqqaSkpJCSkuJLmL///nsKCwtZtmwZKSkpkjALIYQQooqSr1eQfWPV1ZFF9Zp90nznnXfyzTffAFBWVsbAgQNRSjXaMtrdu3dHr9cDnlZ3BoNnMj42NpagoKo17+3bt0en87+NOp3Od1xRUREDBgwAoG/fvr4+z3l5eb6uGSkpKZx//vkAXHDBBWzZssXvfB999JFvUZcjbdmyheHDhzN9+nRycz01SZ9++ilWq5UxY8Ywbdo0CguP2q9bCCGEEC2I5fvV7IkfjjPr8NEH1yD7lsd8rzt88nRDhNWqNfuk+corr+T9998HPEtXT5gwAU3TGm0Zba+dO3eyZMkSpkyZUqe4MzIySE5O5pxzzmHixImAZ1Z43bp1nHjiidx6663ceeedvri8i6NERUX5EmuvhQsXcvnll1e5Rvv27dm7dy+rV68mOTmZu+++G4DMzEx0Oh3Lli3j9NNP5/HHH6/TzyCEEEKI5qngVc9CJPbdabWOK125idTTLiXviberji2fJAwaMhDTCd0aJc7WpNknzQMGDCA9PZ28vDw+/PBDpk+fDniW0fYmpXVZRnvkyJHs27eP1NTUKtdMT0/nqquu4rPPPqt2dvlYdOzYkTVr1rBhwwZmzZoFeMowLrroIrZt28Znn33GzTd7WrhER0f7ZoMLCwuJiIjwnWfnzp0EBwfTvXv3Ktcwm82Eh4cDnp7QmzZtAjyrIY4bNw6AcePGsXXr1jr9DEIIIYRonlw5njZxOrOp1nFlKRtw7s8g/+n3ODjtXvYPmETZz797jg02o4UEk/jOo40eb2vQ7JNmgClTpvDSSy9RUlJCz549fctor1y5kv/9739ERkbWuIw2wK+//grgt5x1SkoKv/32G//85z/9jsvJyeGiiy7itddeo0ePHnWK12az+V5HRET4ElulFHFxcQAkJCSQl+dpJj5ixAiWLFkCwJIlS3wP9gF88MEHTJ06tdrrVC67WL58OX369AE8pSneBHrTpk307NmzTj+HEEIIIZonb1mG22qrfVxGxaSiY3carqzDFLz+CcrtxpVXROQNF2OIj27UWFuLFtFyburUqXTp0sW3EEjlZbT79u1b6zLavXv3rnYZbb1ej9FoZMGCBbRr18533EMPPURGRgb/+te/AJg2bRrXXnstq1ev5uGHHyYzM5OzzjqLm266iUmTJvHyyy+zaNEidu7cyVlnncUbb7xBQUEBd9xxB3q9HofDwfPPPw/ALbfcwrRp03jnnXcoKyvjiSeeAODuu+9m+vTpvm4agwcPBjxJ9ueff84vv/xS5X4sXLiQFStW8MgjjxAeHk5QUJBvhcKrrrqK6667jlGjRvl+RiGEEEK0DkWLvkdZPB3f1FGSZvtfqQSPPA3NbKL0f2sBMPXojLugGFwu9LFRDR6fpmmdgQVAO8ANzFdKvXDEGA14ATgXKAWuUkr91uDBNCDtyBnaygYPHqyefvpp39LUIjBSUlLkngeQ3O/Ak3seWHK/A0/ueWC1pftt353GgTMqvoFOfOsRwiaMqnasK7+I/X3OJ3r2NbhzCyl883MAIq6aQOT1F3Ng6BUkvP4A4bX0Zq6Opmm/KqUG17K/PdBeKfWbpmnhwK/AhUqpHZXGnAvcgidpPh14QSl1+nEFEmAtojxDCCGEEEKAdb2ngUG7j58Cap9ptm37G5Qi6NT+RN91NaaTegHgyi/GlVMA0CgzzUqpLO+ssVKqGNgJdDxi2ARggfJYB0SVJ9vNVq3lGRaLhZKSElJSUgIUjgDkngeY3O/Ak3seWHK/A0/ueWC1pfsdu3Ax5tBgfis8RAfgz61/YEms2rRAs9npcO08dMCmvCzcWyzwwHQS/j0f6979pK5aQxywed/fOLAcbxhxmqZtqvR+vlKqav9fQNO0rsAgYP0RuzoCByq9Ty/flnW8wQRKrUlzaGgoYWFhbeYrj+aiLX3N1BzI/Q48ueeBJfc78OSeB1Zbud9lP/9O5sY/ibrtCnqMGc1+nqZX5y5EVfOzF7y6iFybpx3v8IkX+LqKHTpxJWW/bKFTu07kAKePPQtDh4TjDSWntvIML03TwoAvgNuVUkVH7q7mkJprhpsBKc8QQgghhGjm3FYbmRNuASB88jloQZ5WczWVZyiny/e6chveoMH9cWUdxr59D9A45Rnl1zTiSZgXKqW+rGZIOtC50vtOQGajBNNAJGkWQgghhGjmKreOM53QDc1sAk1DlVWfNGv66lM8fYKn45hjTxpaWIjnPA2svDPG28BOpdSzNQz7BpiueQwBCpVSzbY0A1pIyzkhhBBCiLbMmeqZhG3/paeNraZp6OOjcaQfwpF+CE2nYeiQgFKKvP+8SdGCbwDQt4vzO48W4ql/dqQdRB/XOLPMwDBgGvCHpmm/l2+7D0gCUEq9DizB0zljN56Wc1c3VjANRZJmIYQQQohmzF1sIffhVwEwduvk224e0Bv7H3+RNmgyADH3XkfYxDEUPP+Bb0znVe/7nUsXGgyA88BBzCf3aZR4lVJrqL5mufIYBdzcKAE0EkmahRBCCCGasX3dxwEQ8s9kjJ0SfdsNndtT+tM63/u8x99EFx3ue5/49iPooyP8zuVNmhtrYZPWTJJmIYQQQohmyrtcNkDsv6/326cLC/G91rePx5V1mJy7PSXEnX9ZiKlnUpXzecszoPEeAmyt5EFAIYQQQohmKm3oFQBE3XYFpj7d/PZVTpqjbprit6+mNnK6yklz49U0t0qSNAshhBBCNFOqpBQAY3Wzxmaj73XI6EorUJuMfsmx3zEhwb7XMtN8fKQ8QwghhBCiGVJ2B1qwGUOHBMIvPqfqflWxFkjlpLqmhPnIfbqYyAaKtG2QmWYhhBBCiGaodPl6VJmN2IduQtPrqw5we5LmqFmXoel0JL73GOA/m1yFqWJ2Gpe7IcNt9SRpFkIIIYRohgrnf4ahczuCR55W/QB3edKredI5zehJrI2d29V4Tk3TSNr8OcEjBhMydliDxtvaSdIshBBCCNHM2PekUbb6N0LPHY4uyFztmNBzhwMQNnEMAOYTewEQPfuaWs9t7JRIh8+fwxAf3YARt35S0yyEEEII0YxYf9tBxtgbAIi8ZlKN40y9u9Lj8Grfe0OHBL/3omFJ0iyEEEII0QyUrfmNrMvuQlntAOiiIzB273SUo0SgSHmGEEIIIUQjse/ah3132jGNtSxZ7UuYAaJvu6KxwhJ1IDPNQgghhBCN5EDydIBjKptwl5b5XoeMSybq5ssaLS5x/CRpFkIIIYRoBpwHDmI6qRcJz9+DIal9U4cjjiBJsxBCCCFEI6i8+MixcKRlETSoL+YBvRspIlEfUtMshBBCCNEI3MUW3+ujJdDK5cKZfghDLT2WRdOSpFkIIYQQohG4cwt9r5WlrJaRYPv9T3C6MHaTbhnNlSTNQgghhBCNoPKDfa78olrHFn/yP7SQIMImjGrssEQdSdIshBBCCNEIlNXme+3OK6xxnPNgDkULviFoyEB04aGBCE3UgSTNQgghhGgTlFIolytw16vUc9lVS9Js+20HuFxEXjsxEGGJOpKkWQghhBCtXv4z77O/z/nsbTeS4q9+Csg1jzVpdqRlARB02kmNHpOoO0mahRBCCNGqObPzyJv3FsrmAKB44XcBua77WMszUrPQwkLQRYUHIixRR5I0CyGEEKLVcFtt2Lbs8r1XSpHafwIA8U/+i8jrJmPduA3lcDZ6LMpWMdPsrqV7hisnH0NCDJqmNXpMou4kaRZCCCFEq5F901zSz5qBM+swAK6cAt8+88A+BA0bhCq1YvlhTaPHosoqZpqrS9Jz7nuBvMffwpVbgD42qtHjEfUjKwIKIYQQolVwW21Y/psCQNppl9J19xJc5clz/Ev3YTqhG8ZeSWhmE9ZftxN2wchGjady9wxld1TZX/jm577XwWee2qixiPqTpFkIIYQQLY5txx7sO/Zg6tMNAHeplUPXzPHtVzY71nVbfSUSpt5dAND0enQRYaji0kaP0S9pdvgnzUeuEFi26tdGj0fUj5RnCCFEG+TMOkzaPy7DvjutqUMRok4OTruX7JmPkj76GnA4yTjvJkqXrQMgePTpADjTsnBmZgNgaB/vO1YXEYq7qKTRY/Q+CKiFBmPfuQ/L96sr9hX6Xz/+pfsaPR5RPzLTLIQQbYxlySpy5ryMMy2Lg9Pvo3PKu2gmY1OHJcQxU243zvI2bQCJ972Bff9BANp/8jTBI09jb+IIDt/5FCFjhoDRgD4x1jdeFx6Kq8jS6HGWrf4NfXyM5/Xy9ZQtX0/w6NMJGfUPgoee7BsX88CNRFz6z0aPR9SPJM1CCNHGHLzy377Xjr9TybnvBeKf/r8mjEiI42PbvBPwzM5avlsF5Q/1dVr+DuaTevmNLV22DkNSezRdxZfruohQVHHjJ822LbsInzKO0koPHXqTZ6/OvyzE1DOp0WMR9SflGUII0YZknHdTlW2B6CLQHDj2plPy9YqmDkM0gJL/poDRQOi4ZKJvuRwAQ+d2fgmzLq6iG4UuLNjveF14GK5GTprdJaWoklIMHRPAWPM3OcZuHRs1DtFwJGkWQog2xLrhDwCiZl1WsbGV94a1LP0Zy9K1ZEy8jUMzHsCVX9TUIYl6UEph+SaFkDMHo48Kx3zaieTOuoj2Hz/pN67zT2/5fs81k8lvn6emuXGTZuehHAAM7eLQTJ4v9oNHnuY3JvbRW9D0+kaNQzQcSZqFEKKNKPl2pe91zAMziX10FgC64KCmCikgDk6dzcGp9+AqfyCsbM1vTRxR66ecTgrfW4x9zwFc+UVVOkXUR+Ebn+E8cJDQC0cDoGkapSNO9nXR8DJ0TCR41D88Y46o2deFN/6DgM5MT6s7fbs4cLoACB42iNDxo3xjjN1llrklkaRZCCHaiENX3w9A5I2XoGkaUTdOIWL6eNyWxm+91VScB3N8r7Ugz2xj4dtfkjn5Duy79jVVWK1ewcsfk3PXMxw480r29z6Pks+XNsh5XflF5D76OiHjkgmffPZRx3s7ZoSUd9Pw0kWEokpKUS4Xh+95Dtu23Q0SX2XO/RkAGLt2xJVbUBGPs2KRE0PHxAa/rmg8kjQLIUQbo5krvqrWRYYFpPVWUyl44UMAtLAQOi55ndDzRmBdu5mylZvIvuXxJo6udXJm55H//AeeN+ULemTfNBd3HWqIXXmF5D+7AFdOPgAlXy0Du4OYu69BMxy9l4GpVxc6/7KQqDum+W3XRYR6Yk3NoujtL8m8+I7jjq02Zeu2UvDGZ2AyYugQ72svp+8Q77fIiaGTJM0tiSTNQgjRRnhbX0XfMd23TRceirLaff1kWwNXUQmWH9ZQtuY3ihZ9T8jYYXTf9z/MJ/UicsYk3zjb73/iKihuwkhbH1deIan9J6AsZXT+ZSFBpw/w7XPsyzju8+Xc+zx5j79J3hNvU7TwO3JmP4t5YJ8qHTJqY+qZ5Nc5AzwPAgK48gs9G2xVV+urj0PX3I9j136MnRL9apYNHeIx9e1REUdEWINeVzQuaTknhBCtncNJzpyXcB3OI+be69CFVnQS0EWGA+AusqALMld7uOWndZSlbCBu7q0BCbe+cu5+lpIvfvS9Dx071Pc6OPkUumz9EtuWXRycdi/WdVsIHZfcFGG2SvadewEIOfsMTD2T6PjtK1g3/EHGeTfhPJRL9b9h1cuadq+vVZt143YsSzwLg8Q/c1e94/TONLuy8wBPDXZD0sr/LsU9eaffdkO7eGLunYGy29FFhKG18odwWxuZaRZCiFYudNUWCl//FABDUju/fd4EWpVa/bbnPvIaxZ/+AMDBy+6i8I3PcFvKAhBt/TgP5folzOFTzyPs4rF+Ywzt431dDA5OuxflaNiEqSWxbd+NcrsBcKRm4jycX6/zObNzAYh9cKZvm75DAgAHL7+b3Idf9R9/KLfahwRd+UW+hDn80n/i2J2G21JGxLWTMA/sU68YoWKG15nlqXlX9ob9HXBbyoi4+kJCRgz2v25oMJrRQNzcW4m5+5oGvaZofJI0CyFEK2f6+4DnhdFA0Cn9/PZ565uVzb88o+Clj8i++TG/bZ72UGoAACAASURBVI4WsOS2d5liY/dOdF77AQnP31PtDLouyEzoBSMBKPv590CG2GzYtu8mfeTV7E0cgbuklLTBU0jtN96XxCqlyJv3FvY/j/2BScef+wHQJ1SsvmdIiPG9Lnj5Y/KeeY+0oVewt9MYUk+8kKIF3/idw221sb/3eQBE/+tKzAP7oGx2lKUMY2f/D311ZerTFahowYjL1SDnBc+stTuv0FcOBWAa0LvBzi+ajiTNQgjRill/20HYsl8JGZdM94zlGLt38tvv7SihrHbfNnVEAuGdlbP/ndrI0daPbdtucu56BkOX9nRe9xGm3l1rHR/3mKfcxJmaGYDomp/S//3se21d/4fvdfbMR8mcdBu2zTvJf+Z9DgyfTu4jrx/1fMVf/UT+s+8DoIsK920/st1b/ry3cfydirJ5fudKl62jbO1mDt/9LO5iC9kzH/WNNXRp7/ftSNjEMcf5U1bP0D4efWKs37cSDSHj/JvJnfsGAPpKi6t0+uENuqX91KDXEoEnSbMQQrQy+S8u5MCZV1K6ahNZl90NQMz/XVVt/aS39tKbwAC48vwX/9BFepJmx9/Na6ZZud0UvP4Jtm27cZeUkvHPGwAIv2TcMdWKauWlKa255V5tLD/94iudKPp4iW97yRc/Urb6NzLG3uDbVvDSQmx//F3r+Yrer5gxPp5aXc1opOCVjyl69yv29TkfS3k/8Zh7ZhA2fhTmE3t5T4qhPN6G4P29bkjW9VspfGURgN9Ms2Y0oAs+nopu0RzJg4BCCNHK5D3qmRXMuqiijVZNdaDe8ozK3TPc5T1lAex7DuA8cNDzetc+lFJN+vCScrspXbae4GGDyL55LpZvV2Ls05XYOTeirHYSXn+A8IuO3r8XKuq5W0KtdkNTSmHfsYeIy8+jZPFyLF8vB5ORuLm34M4rwrpxG6XL1hF161RCzx1Oxrgbse/YU2PXirK1m7Gu3QxAh8UvHvX6SRs/oXjREvJf+gjLNxVLm5t6JmHfuZfE+Q/5ZpV1YSHEv3Rfg5VmeOlCQ+p1fPasx7D/lUqnpfM938Ic0aFDHxddr/OL5keSZiGEaEWqWyLaOqBHNSM9jizPcFttvp64AAeGXO57bfluFZkXzKLjt680VLjHrfSndRycOttvm+OvVPKffg99fDRh54845nNpej1asBl3ScuaaXbl5FdJyNxWG2VrNhN61pBjOoc7vwhlKcOQ1B5T/x6UpeQRddOlRF490Xc+1+F8jJ3b4S7zfKByZmRXf65SK5kXekpdYh++meBhg2q9tnlgH4xdOxBzzwycGdkUL/oegMT5DxF64WjcBcXooyP8jom49J/H9HMdDy3EfyVM5XCiGY89LSr+xPOgrCu/iANDr/DN2nvp4yVpbm2kPEMIIVoR2+9/AhD3+O10Wv4O3fb+wOHZU2sc751ptu/ci7uklNR+E8iceFuVcabyGUbr+q2NEPWxsx+xclv07GtAKWy//4l5UF+/hVuOhRYajGohM80Fry4ibcjl7O87npyHXmFvt7G+bhc5dz/LwcvuIv+FD6vUpFfH/penPt2Y1I64/9xG3JP/Iuauq337dUFm38yuLtiMLjaS/Bc+wJlxyO88ZT//7vc7EXTGwGqvZ+zdxfe6csLvrXdOeP0BwiaOQdO0KglzY9EdkTRX/rB4PEqXemrDvcu0exkSY6sbLlowSZqFEKKVsG39i6xLPH1hQ88fgfmkXujCQ+GIB7Eq83aWyJv7Bo7UzGpXbYu88RLavfWI771l6doGjvzY2Xbs8XvvnRkF0NchSdGFBmPfuY/0c2f6Lbnd3CilyH3wFRx7PJ1QCl9ZhCoppeSLpZSu2kRxeU1y3tw3yH/m/RrP4y4pJXfuG2RecDOa2YT5tJMw9epC5NUTqzywV1nImYNRpVYslR4eLHznKzIn3OL7nYu8+VKCBvWt9vhO/5tPwvwHATAPOsG3PfrOK4n59/WEXTj6GO9Ew6ncrxzAlVNQw8ja2bb513prYSF0WPwiurD6lX+I5keSZiGEaAWU203WtHsBT7u1Y00gveUZAKXL11c7JvyScRi7d6LdwnkAFL79VT2jrTv79t2EnH0G7T56kk7L3kYfG0XUrVMJGjbIrzfwsdKFhWBdvxXbxm0Uvbu4ESI+dsrtrrFPsjM1q9rtZT//TtHbX/pts23eWeM1Ct/+0re0ePT/XYXhGEsI4p/zlMTkPvQKB0ZejfNQLjmzn/UbE3nlhTUerwsLIezCMbRbOI/oO6/0bTd0SCD69ml+q+YFihZSnjQbPNdWjrqtCnhkS76EZ+8+aomKaJkkaRZCiBbOXVKK469UXJnZxL90H0nrPz7mh/UqlzM4dh/w2+ftLmDo0h6AkLOHer5mb+DV046Fbdtu0sdej2N3GkFDBhJ69hmYy3vfxs65kY6LX0QfGX6Us1SlC6mYbXSkH2yweOsi65I7Se033q8u3frbDva0G+lrjdZp5XsEly+YoQsPpfT7Nb6V8rzcRyxUU5l13RYAQs4ZSuSNlxxzbFqwGTQNVWbDvn03qSdWTZD1lfoxV3sOTSP0nGFohubxOJW3PMP7e1TXRW7KUjb6vT+yVlq0Hs3jN1cIIUSd2Pcc8HtYL+i0/sd1vF/SvD8DgLBLxmHu34OgoSeDUujL+zRrmob5pN5YN21rgMiPjXK7KXjuA/LmvQWAqX9PIq+f3GDn11Wun61mZbpAcR7Op2zlJsAzexx23pkAFL75Obhc5M17C318NKYTupHw2gPYt/6F9dft5D/1LuApjQgbP4rMibfjTM3E9sffOPZnYD6pN8auHQDPvbRu2k74FeeT8Nzs6gOpgabToQUHoUprrv8+styh2TN7ylF8cTuPfYGTyi0ajyRJc+slSbMQQrRgjr/2+703du98XMdrlXrH2v/chz4+hsRX/l3jeH1sFO784uO6Rn0cnH4fpf/z1FBH3nwpsQ/e1KAt7yo/dHbkUuKBZNu8w/fasngZYeediX13GiWfVyy+EXHVhWg6HYb4aAxjTseV56nB1UKCiXvoZgAir7mQgpc/Jn10xRLNxhO60TnlXRz7M3AXFBM0+MQ6xVhbwhw+9bw6nbMpeWuOVXmyfDwzzYVvfVHzecND6xeYaLakPEMIIVowbxuwiOnj6fDtK8edUGp6PZ1/9tS4uvMKMXbrWOt4XUQo7mILyu0GIG3I5RS8tgilFIfveY78ZxfU4aeonvNQbkXCPHMKcQ/d3PA9ois9/OYuKmnYcx8H+3bPA45hF5+D5fs1uAqLOXTNHL8x0ZW6WwCEjR9Fuw/n0W1PxcIkEdMnVDm348992Hfuw3nA0/niyFUhG0L8E/9q8HM2Nl2Ep5xHlbfUO5ak2W0pw5VfhCPNv5QnrtLPX1Mva9HySdIshBAtmGN/BhgNxD11J8GnD6jTOSqXaASPOq3WsbrIMFAK68ZtuIstOPYcIPeBV3Ds2k/R21+S9/ibdYqhOrYtnvZ5WrCZqJsva7DzVuY6lOt77S7279ds27abg9fMwZl1uFGuDXD47mdJHTSZ/Gffx3xKXyKvm4yy2cm88DbsO/f6ev2GXTK2ygcGzWwidKx/jXBNH3qyZz3m6w5iaBdXr5grPzya8Or9nlZxx9nqrznQl9fsu70z6MdQq59+znXs730e7qJiDEmeWn9DUntCzx3uG9MUDzWKwJCkWQghWjDLd6sITj4FTVf3f84rJzwhI46SNJfXN2eefzM597/k235g+HTfa9dxztgqt7va3sK2LX+BptF1xzeN1vM26FRPDbj55BOqtNsr/fFnLP9NIfvWx/22u0tKyZp+L459GfW+ftG7X+FMP4Sy2kl882HMJ3vasdnL25h1+PIFumetIOGl+475nB2+edn3uuPS+WhhITgP5eAqT5rr0pqvsnbv/8f3OvzisSTOf6he52sqpn6eRX+8vwPHMtPsKO9v7TyYiyExlo5L59Ppp7fQx0YBEHVrzT3RRcsnSbMQQrRQymbHmX6IoNNPqtd5Ks8cHm3pX12lDhXFH31X7RjvstvHQilF5sTb2NtuJCWLl/u2O1Izsf3+J8ZeSY3a7zbqtqkkbfoE84DeuIv8k2ZXXqEnlt1pftst36+m9Ps1vocTj5dt226sm7aT//JHvm1x/7kNY1J7NE3ztfYzdG6H6YRuaAbDcX0oCjqlL8ZeXUh851GCBvUl+rYrcOcU4Nidhi4irMqiHscq4ZV/E//8Pb5Wbd6uKi2V+aReJK3/mKhZnm8x1HE8COjYcwB9uziCBvVFHx2BZjTQPWM5Mfff0FjhimZAHgQUQogWypmdB4AhoX4zh5VnmvVxUbWO9X6lXZ3YubeSe/+LOP5Kxdy/p2974Vtf4Eg/SMw9M9AFmT310JqGpmnYt+3G+vPvABy67kEO/99TuAsrZqrDrzi/rj/WMdH0eoxdOmDs0RnX4TxsO/di7tsdqCjdcOUWoJTylUe4yh+E1NWhxR1A+ij/2uQOX79E8NCTfe9DzxlG57UfoIuOrNP5NbOJpPI6dQBT+Wp8ZWt+Q9+u7r8r4ZeMA8BdbMF82onEP357nc/VXBi7d/J9Y2DbtJ3wSWcd03GurMNVvv2obXEY0TrITLMQQrRApcvWk3bKxQDo61ujWilp1o4yq6uvZTGMiGkXAHDo+ocofPtLnBmHUEqRc+/zFL6yiML5n2Pfk0bGuBvZm3Amjv2ZZN8813Nw+QITlRNmgIipjZs0e4Vfdi5aSJDfQiHO8qRZldn8ltp253tmoHVRx580H1m6EvfUnX4Js5epd9djXnjkaIy9PEmzMyO7QcpcdOGhdFryGuaBfep9rmbB6Jk/LHzz81qHFb7nv/hNfctcRMsjSbMQQrQQSimU240j/RBZl/6fb7u3D29dVX7A7GjdKfTVzGonvvcY3TNXoAsJQhfrmR3Nuec5sm/5D/v7XuAbl/fo6xwYMtW3Yl3aaVOw79yL+dR+9MhKqXLeDotfJGjw8fWdrit9dATBQ0/GuuEP3zbH3xVlGXlPvI1103bP9tRMz8bj+Drfy9slAzz14SGjT69jxMfO2LXi4UAtyFzLyLZJMxz9wT3btt3k3PWM3zZZJrvtkaRZCCGaIeum7eTc94KvtRvAoRkPkvHPGzl4ZcVDYRFXX4ipfCYxEI6cXdVCggg770y08tm6uLm3+vaVrf4Nd65nVtZUvurakbRgMx2+eB6ALtu/puvuJSS+8yhRd0wP+FLEpv49sf+dirI7cGbn4TqcR9iFowEofP1Tcu5/EeV2Y9vs6erhLrHUdrpqZV12FwCd135Al22LMSY1fl2wZjTQefUCDF3aE3H1xEa/Xkvj/d0FzwfT6lT+kOoVOn5Uo8XU0mma9o6madmaptW4EpKmaSM1Tftd07TtmqatDGR8dSU1zUII0QzlPvAy1o3b0IWHEnPvDMrWbsbyzQq/Me0+forQs4Y0yPWCTh9wTLOe3ploU7/u2HfsJWL6eL/91T1I2HXP92B3kP/sAgrf/JywSWdR8uVPAHRa9rZvRTZD+TLMYReMJOyCkfX5cerE2KU9OF3Y/vgL5fDMIodfdi6W79egbHbcRRas6//wPRjoLimt7XRVuEutKEsZuogwjL26NHzP6VqYTuhGl02fBux6LUrlpNlmP+bZeMNRlg1v494DXgaqbdyuaVoU8CowTimVpmlaQgBjqzNJmoUQohlxl9k4dMNDWDd6Jmjyn30fLSSoSr1l7NxbGyxhBuj47SvHPLbr30vQgkwoqx1duP9X1JVLAby8y3DH/ec24v5zG+BZjMW2ZVdAZ8mPxpvwZ4y70bfNkNSezqsXkDF+Fu6iEpyZnsVkNLOpSl/no3H87WlXFv/87IAmzKJ2lftcK6sdqkua5c/ruCilVmma1rWWIZcDXyql0srHZwcirvqqNWm2WCyUlJSQkpISoHAEIPc8wOR+B57c85qFrN5C7PdrAFBGA5rDSd7cNwDIu2ki+pwCrAN7caB3PBzjPQz0/dbe/zcq2EzMy19QNvgEDtR07X7tjvlnCARTWhqJR2z7Zc8ulNlIxLATifhyJbt+3kA0YE1KxLbjb3bVEH9199y8ZTcJwNb0VOzN6OduDer1O+504V18fu2KFNzRVR/wTIgMwXxEJ8U2/m9YnKZpmyq9n6+Umn8cx/cGjJqmpQDhwAtKqYZbTrSR1Jo0h4aGEhYWxsiRIwMUjgDPX0S554Ej9zvw5J5Xz5WTz/6pjwDQ/tNn0EWFc3DavbgO5RI+7QK6z7nVb1bsWDXZ/R7Vsmo+7e33cYCKFQ2NfboyYuzZABT8lUPuFyl00cwUGfQkjhtOweufMmLosGpbjVV3z4tzHWQDg88a2axm2FuD+vyOK6XYy0MAnDHo1GofrM2I/QLXCXoir55IyZc/EfrPZHq07X/DcpRSg+txvAE4FRgDBAO/aJq2Tin1V4NE10ikPEMIIZqBksXLOXTdgwAEDz+FkFH/AKDrtsW1HSYakLF7ZzAZwe4AoMPnz/n26aM8JSb2nXvRx0Ri7NYJHE6c2XkYOx05P109d/liKfroiAaOXNRH5VIZZbNVO8ZdWIKxSwcir5lI5DXyMGUDSMeTeFsAi6Zpq4CBQLNOmqV7hhBCNDGlFDn3vQB4amgT353bxBG1TZrRQOdV73veGA0YKvW/9i5kYt3wB0FDBqKL8bTWc+cXHfW81s07KVr4ne/PuC79nUVgKKu92u1uS2mV+n1RL18DwzVNM2iaFgKcDuxs4piOSmaahRCiHg5edT+GDvG+B9zqwvHXflyH84ideyuRMyah6Y/eN1Y0Dm8LuJCRp/ltr7z6X3DyIN9ssW3rXxh7JqELrrnjQsY51/teayFBdSqxEYHhLqt+pllZrOjKlw8XR6dp2sfASDy1z+nAg4ARQCn1ulJqp6ZpPwBbATfwllKqxvZ0zYX8zRVCiDpQLhclX6/A8p2nvWjswzf79Xs9HpYlqwEImzBKEuYmphkNdF73kd8sM4Cu0vLhxp5J6MqT5sO3z6PwnS/pvOztas9Xue+veVBf2i18ohGiFvXV4ZuXyRw/C2WrYaa5zIpWywcj4U8pddkxjHkKeCoA4TQYSZqFEOI4OTOzSR97A66DORXb0g9h7Fa13Vp1rBu3YduyC31CDIeufQCAoKEnV0nURNMw9ehcZVvlJa3N/XqgHE7fe/vWv1AuV7UfeCr/jkTddkWDLY0tGpYW5FlKvrqaZqUUqsyGFhwU6LBEMyNJsxBCVMNtteHKzqt2xbbU0y71PSzm5dif4UualVK4iy2+/sSVObPzyJhwC1RKukLPH0HsI7Ma+CcQDUkfF03HH17HfFJvNJMR5XIRNGwQ1rWbAU9ybOhY9YFAe/lCKKHjRxH6z+SAxiyOnbdkxruojR+7A1wudCGSNLd18iCgEEIA9j/3kff0u7iKSgDI+b+nSTv1Ely5BbgKin3j3CWlvoS53QePe1a70+nIe/wtnAdzUC4XOfc+z/4e/6R09a+4cgsAKFu7GUdqJhnjbvBLmBPfe4x2787F2LldAH9aURdBp/b3tZfT9Ho6Ln6R9p8+A4Bjf2a1x9i37wEg7tFZaDr5X25z5SutqvR308tb5ywzzUJmmoUQAsi5/0XKVm7C8VcqifMfouRbT63y/hMuAKDLli8wdEgg597nAU+yGzrOM3MYeu5wLN+uJPWkiegiw3AXehLvrEm3owWZSHxnLgcvvxtdbCTu3EJiH7qJ4ORTMCS1l/ZjLZy+vKTGdTi/yr7SFRvIf+pdjN07oW8fH+jQxPEwekprlLNq0qzKrAAy0yxkplkIIZxZhykr/5q95KtlOPZloAvzby+Vce5MnIdyKV70PQCh5wz17Ut851HCLhkL4EuYvZTVzsHL7/bsy/X06Q2fej7mgX0kYW4FvH+GrvIezD4OJ1mX3Im7qISwiWNk2exmzluekTf3Db+HNwHcpWWeMZI0t3mSNAsh2ryc+18CIObe6wDIGD8L16FcYu67jpCxwwBwZmSTeuKFAETOuMivU4amaSS+cj9ddnxT4zWCRwwGg56Iqyaglz69rYa+vF9z4Zuf+203ph/2vdZFyYej5s7799mZkY2ylPnt837YlfIMIeUZQog2zbE/E8v3q4m8dhLR/5pOwfxPfR0PIq+/mCiTkb0d/JeDjvn39dWdCn1clO+1qX9P0Ovo+O2rtfbwFS2bt8bZsTsNV1GJ7+FPY9pBAEz9uhM2cUyTxSeOUS29s4u/+MkzpL10t2nrJGkWQrRphW95ZgijZl0OQPiUf1L46iLaf/k8ulDPYgZxT91Jzl2eB77Crzi/SumGl6ZpdPj2FQzt4jB26RCA6EVz4so8XJE0px5CM5votOxtWcykBfB++AFQTv8OGqrMii4mkqBT+gU6LNHMSHmGEKJNceXk+2oW3aVWij9fSui4ZF+P5NgHZ9Lpp7cIGX6q75jIqy6kx+HVdFw6n/h5d9R6/uDTB0jC3MbEzLkR8PTv9jKmHcLYp6skzC2EZqjUY/uIhwGV3YGumvaRou2RpFkI0WZY/reW/X3HU7r0Z9yWMgrf+RJ3biGR1032jdF0OswD+1R7fNCgvmhmU6DCFS1E2IWjAXBmVSxkYko9iLlfj6YKSRynys8oVJlpttp9i5+Itk0+AgshWoTiL34ke+ajdNv7Q43lEbVx7M8k574XADh4xT2+7Yak9gSfMbDB4hRtjz7WU8vuyvP05Lbt2IO+oATTSb2bMixxPColzbg8SbNyOHFmHUbZ7X7lG6LtkplmIUSz50jNJPvGR0ApCl5ddFzHKpudsnVbSTttCs60rCr7TX27N1SYoo3SQoLAZMSdXwRAWcpGoGIGWjR/lReeKV3h+fPLfehV0k69BGdmtnzDJABJmoUQLUDWxXf6Xhe+8+VxHVsw/zMyL7jZ9z7iygkEDT3Z916SZlFfmqahj47AlVeIUgpndi5K0/y6qYiW4/AdTwCexWkAnJmHJWkWgJRnCCGaOeV04tiX7nvvzi2kaOF36KLCMXZuh3lA7V+BWzduAyD+xXsJOqUvpj7dAMiaOpvSpT9j6idJs6g/fUwkjv2Z7E04EwANZNnsFs77cKC7oFjKMwQgSbMQoplz7PUkzPEv3EPI6NNJPWkih2+f59uf+PYjhI0fVdPh2H7fRdjks4m47Fy/7TH334D5lL6EnjOscQIXbYouOgJr+aqSopXwfuhRCs0sSbOQ8gwhRDNm33OArKmeh/ZMvbtiaBdH3BEt33IferXG40u+W4Ur6zDmgSdU2Wfu252YO6/y9WIWoj700ZFNHYJoYJW/4dJJeYZAkmYhRDN28PK7ce7PQAsLwXyqZ2GByGsn0WXLF+jjYwg6YyDOzMMol6vKse5iC3mPvAZAyNlnBDRu0fbooj1Loxt7dWniSERDsO3Ygyq1VmwwSdIsJGkWQjRThW9+7ivNSHhuNpqm+fYZOiTQdcfXhJ43Alwu9nUbS/rY6yl86wuUUhS+8xX7uo/DsTed6HuuxdSjc1P9GKKN8M4060KCAHDL0uktmruwxO+9rfzZCNG2SU2zEKLZcRUUk//8BwAkbfwEY9fqV9gLGuyZfVZlNmy/7cT2205y7n3eb0z07dMaN1ghAF1MBABKKbr++V/WrPuFXk0ck2g4lUs1RNslSbMQollw5eSj3ApXbgHpZ14JQOJbj9SYMAMEndqfbgd+4vBt8zD27oKGRsm3K9FFhaNKy4h9eBaaXl/j8UI0FO9Ms7LZ0cdGoaRWvsWJun0aBeUf1t3FFr99EVdPbIqQRDMjSbMQoskppThw5lW4Duf5tsX95zbCJtTcFcNLF2Qm8Y0Hfe+j77yyUWIUojZ670yzzdHEkYi6CjlrSEXSXFDkty/uiTuqO0S0MVLTLIRocvY/9/klzDH3XkfEjIuaMCIhjo8uyps025s4ElFX3r7MAK48/6S58jMVou2SmWYhRJMrW/UrACHjkgm/ZCxhF4xs2oCEOE4VM82SNLdUmqEiJfIuiS5EZZI0CyEajSM1E8eeAwQPG4RyuUEpT19kuwPlcqFsDtzFFnLvfxFDl/a0/+Dxpg5ZiDrReWuarZI0t1iVnn9wZmYDEDphNKrMWtMRoo2RpFkI0SiUUqQNnlJle9StU+n84kL28ojfdtMJspy1aLn00Z6Z5uDkQU0ciaizShUYxYu+ByDh+dnowkKaKCDR3EjSLIRoFMUfL/F7r4WFoEpKKXhxod92Q6dEgoaeTMydVwUwOiEalmY00HntBxg6JjZ1KKKuVNVNmvTbFpVI0ixEC+dIP0TmhFtwpmXRaeV7mPv1aOqQUHYHuXNe9nzdWb5aX9ftX7Ovy9l+4zp88zLBZwxsihCFaHCm3l2bOgRRH253lU3SslJUJt0zhGjh8h57A2daFgAli5c3cTQezoM5uItKiH/qX3TPXkX3zBXoQoJIeP0BAEpGn0qXbYslYRZCNB/Kf6o57MLRTRSIaK5kplmIFsy+J42Sr5YTed1kCt/8HFVa1tQhAeDK9rSP0yfGeVo1GT3/1IRdOBrXoVzSkyIxJMY2ZYhCCOHnyFIMQ9eOTRSJaK5kplmIFsz68xZwuYi41rNaVeEbn5F5yZ1NEkvBq4vIuuwuij78FmfWYYAqibGm1xN106WoMFktTQjRvJh6dyXx7UfQl/+7pZmMTRyRaG5kplmIFsy+Ow3NbMJYaUakbMUG3CWlAX3i25VfRO6DrwBQ+tM69AkxABg6JgQsBiGEqK+w8aPIf/Z9XIdyJWkWVchMsxAtlFIKy5LVmE7qhabXE/fkvwg6fQAA+7qNxbZ9d8BiyZx4q997V3YeYZPPRh8XHbAYhBCiIWhmU/l/JWkW/iRpFiJAHOmHsO9Ja7DzubLzcO7PIHzSWQBEXj2R9p8969tf+uMvDXat2uQ/uwD79j1oIUHEPjrLtz3y+osDcn0hhGhIvqTZKEmz8CdJs2jxij9fim3reTHvCwAAIABJREFUX37bbH/8jW2bZ6bVvucAeU+9i6qmnVCgKLuDA0Onkj7qGly5BShVTUPQ4+TMOASAIam9b5su2EzHpfMByHtsPqWrf633dY6m5NsUAJI2fUrUjVOIf/YujN06YR7Qu9GvLYQQDc2XNEt5hjiCJM2iRSv+5AeyZz5K+phrcRdbAHCXlJI++hrSR11NwauLODDkcvKffIfSZeubLE7rbztRZTZUmY39J1zA3oQzcZeUHv24X7dz6IaHcRUU+223/LSOjLE3AFRZTCFoUF+Ckk8BIP/xt7Bt2dUgSfqRlMNJ5sX/wv7H30TfeSWGeE8pRsS08SRt+Fj6mwohWiQtyNNFQ8ozxJEkaRYtlm3HHrJnPeZ7f3DGgwBYfvzZt837cBqA/YjZaFdBMfZd+xo5Sk8Sn33zXLTQYELHj/Jtd+xNr4jtr/2UrtpU5bisi++k5MufKHpvsWfcn/uwbt7Jwcvu8o0z9uxc5Zrt3nqY4OGnYN24jfSzZnDo2gdw5RWS8+AruIpKaoxVKUXh21/izMw+6s9l+WENZSkbAQgefupRxwshREvgnWlGPviLI0jSLFokd0kp6SOuAiDyxksAKFu+HufBHGy/70ILMhE88jS/Y5yZ2eQ99S574oejlOLgtHs5kDwdzeZotDhdBcVYvluFMy2LuEdnkfjq/URcfSEAeU97SkYK3viMA8OmkXXRHQAotxvbll3kPf2ub/bc/uc+lNPJgeHTyTjnet/5233wOLqgqsu86mOjiLn3Ot97y39T2N/nfApfXUTqSZNwHDiI81AuZWs3+8YULfyOvQlnknPPc6SedinO8l7LNbGu2wpA8MjTCJJFSoQQrYQ3aVb2xvt/g2iZJGkWLZJjzwEAzIP7E/vwzXRe+wEAhW9+jiszG0OHBNq9/x/07eN9xzgzssl/8h0A3AXFWNdtAcD0Z2qjxOgqLGZ/r3N9s+Hhl5+HZjYRfdc1AJR+v4bCt74k9/4XfcdYf/+TvYkjSD9rBoWvLMLQuR3BI0/Dvms/hW994Xf+2EduJnRcco3XDzrtRLofTKHdwnl+21VpGWmnXMyhq+8n88Jbsf62A4DDdz1dMcjuIP/pd2v9+Wzb/sY8uD8dPnsWTSf/lAghWgddUHnSbLM3cSSiuZH/04kWybt4Rtx/buP/2bvv8Lbq64/j768k7xU7dnZCBiQE0rASQgghTkLYG8Ioo2WWQmmB9kehlE1bSihltWWU2YaVsDc0xCGMQBJIWAkr0xl27MR7Srq/PyRdS7a8bUm2P6/n4UG6urr+6sbj6Ojcc4zDQfzYkaSdcRQl986n4qX38JRV4EhOZOQXL9jPqVq0zL4dHIDGbyrosnVZtXV4dpay5aTfsGH3o+3t/S4/y67xdeVkknrSbAAqnnsr5Plb5jRkhzN+MZdBj91G0qEHUPfV9xRff3/Ivo1rmcMxTicph09jxPJnGb3lPUZ8vtB+rGb5VwDUb9zqq3k2JuS5ZY+9xIaJJ+MpDa2nLn3iZbZfeCOewp24hqgPs4j0LnamuUZBs4RS0Cw9knurf+JcUCY5/fyT7Nsu/3ANgOTZBzV5fiDjDODK39Ela/LW1LJx8hlsGHcsNR981vD1j5hG/xsuCdl3wIM3gstJ7epvcY0cwqj1b2NSGqbkjd7yHtm3/ZqEfcaRceGp9pAQk9ywj2v4oDavLW7kEEx8HHHDBjJqXWigbpVX4S0ugbp6Eg/ah4H/voX4CXsA4Nm2gw27H03V0pVYtXXUfvMjRb+7k8qX36N+/Rb1YRaRXifx4H0BiN9rdJRXIrFGEwGlR/IUFoMxOHMagrb4PXazbw9e8PeG28/Moz6/gE37nRpyjLQzj6buuw3UFJV0yZoqnnsbz7aGAHzIa/+gdtW3ZFxwUpN9jTG4hgzAvWkbA+79A47UZIY89ze2HHMp/f/0m5BWR46kBEZ8vpCqdz/GvbWQov/7GwCuYW0PmoM50lLI+sNF1P+4mfJn32LHb+fhyMoAfNnt1GNnkDh1H+q++ZFtc68CYNvJVxA3biT1325oOJDHgzOnX4fWICISq1KPnUHi6uf1SZo0oaBZeiTPzjIc/dJC2poFj40OzjQDxA0biHPIADxBXSHixu6Gp6SMxDc/wKqr73RPztLHXyJu1DBMahLesgoSJ+1Nkn9CXziDHruN2tVrSfJfRJd44E8Ys2Np2H2NMaQcfjCVQQNLnNkdD1gzrzwXy7Iof9aXdS44748AxI8fBfjOn2tAFjn3XMOO3/hqokMC5sAa+itoFpHeRwGzhKPyDOmRvCVlODPTm2zf7YsXGPr2g2Gf42nURi1pykS8pb72azuDyjXay7IsSh97kbovvyf9Z8cz/L1HGbH82Vb7FCdMHEv6Oce362vFjWjILptGNcjt1fj5Ax++mfgxI0K2pf/0GIa+8S8AXMMGEr/XaOIn7MHwj/5L+nknknLEtE6tQUREpKdQpll6HPfWQipeXETc7iOaPOYanBNS5xws9bQjqHjubft+wr57Ypy+9421q7/t8HrqvvqBoqt946uT/ENFOhvQNsc1fHDrO3VQ6omzwm5PnDzBzoBblgWWhXE4yLnjt922FhERkVijTLP0GFZdPbXf/EjBL24BoP6HTe16/oB7r2XU5v/hGjEY19ABmDgXOXdfA9Dh6XXeqhrKF/gC8fgJexC/95gOHaetHMmJ9Lv8LIa8dG/rO7dB8mG+iyQHPHRjm/Y3xqi9nIiI9EnKNEvE1a1dDw5D/NiR7Xpe8Z8eovSfz9j3My48pV3PN04nxulkxMfzwT9WOm7EYKoPGEf89qJ2HQug5tMv2XLMpfb9oa/9A+Pq/h+pxp04OmPw0/O67FgiIiK9mYJmCcuqd4PL2S1lBpunnwvA6IIl7cpaVr6aZ98e+cMbODPSOvT1G1/w501LxrNtS7uPs/Ovj4TcdwS1jBMREZHeRZ+z9nCW10vV+yuwLAtvVQ2esgp7e8lDC9l13/wWn1/79Q/Ub9gass1dUMymyadTfPM/O7SmnfMeo3zB27h37AKg7rsNFN1wP9Ufr6bq/RX2ftVLVjR3iCbqvt+Ie/N2+35HA+ZwPGnJeHeVtus57u1FVL+/koxfzCX9vBOb9D4WERGR3kWZ5h7MsizWDT8M6upJOX4mla8sJm7PUYxY+iTlz75F8XX3AJB28mHNTo/Lzz0PgDE7luIpLWfLkZfgLS3Hs2MXpf94htIHF+DMzmT4B0+2KVC1LCtkcMjwD56k8Mo7qF3+FaX/ejZk35plX5A888A2vda6r34AIPP353d5KyBvWhJWdS2V73xE8pyprWbXvRVVbD/nWgCSDp1EyuEHd+l6REREJPYo09yDBaa4AVS+shiA+rXrsSyLHVf81d6v5vO14Z9fXmnf3nbOtRRfdy/1P2zCs2MXzkBg6vbg2V5EwYWhF4pZHg+77puPu1EtcMk9/w25v+X4y6ld/hXx4xsmK6WediTOQdlNntscz85SCi6+CYB+v/op6T89pk3Payuvv7/z9rN+T9XbH7a6f/kzb1K7yndOXQP7d+laREREJDYpaO7B6vzDJpyDskO2l/zjafB6cfoDuvrvNjY858dNlD76IrVf/cD60Ufa26ve+sAedAG+YDDQnxegOm85NZ9+ad/ffPDZ7LzlATZPP9cuubA8Hnb+6SEABj11B66RQ/HuLCV+/GiGvHo/yUceQurcwxlw9+9xDcrGva1t46vLnnjZvu1ITGjTc9qjfreG3sf1m7a3sCeUv/g/iq69277vVNAsIiLSJyhojnGWZeEpLW+y3VteybYzfgcOB0NeupesP1xE+gUnA7DzZl+wO/Dhm3EOzqH8+XcouPgmrLp68nPPo+j3d5E/01eWkZQ7Gdew0NKN5MMOov+tvyJh0t4M+Nf1xO+9u++4f3vC97Urqqhfl++7XVLOtlOuxL29iOKbfDXQWTdcQsqcqST426+ln3s8zow0Bv/nLwz85/WYOBfOwdl4CtrYsaKD7eDaqm6PYXaP4uLr7vH1Im5G4zrszkzlExERkZ5DQXOMq3hpERt2P5qddz4GQNX7Kyj7zyvkH/kLrJo60s89jvgxw8m88lwyf31WyHPjdhtM3LCB1H+3kYoXF7Fx0ulYNXUh+wx+7m8k7DMudNvT80iaMhFjDGmnHs7wvMfIuOhUaj5ehbeymip/4DjggRvA3/1i409OovSB5wBImrZfyP9dI4c2eV3O/v3wFIe/+G7H1X9je1A5iKegGIChbz7QhjPWAcaQc8+19t2ia+6m4Je3hN01cP6cA/szenteRFrMiYiISPTpL36Mq135DQC7/vooxuFk518eth9zZKbT/6bL7PuuIQNIPXUOFQvfBXyBnWvYQFj+FQAefznEyG9fo3rpZ7i3FWKMIefO3xE/bhQlDy0gbe7hYdeRlDuJ0ocXsn6k/3Gnk5QjppF9+xX2NLyAQP/l9AtPIf4nY0mc8pMmx3NmZuDZWYplWSEX3nnLKyl77CXfa544lsxfn4V7SyFx40aSOGnvNp+39jJJDWUfZY++AIB76w4yr/oZyTMmAVCVt5yK533ndtiiRzo8EEVERER6HmWaY11QQBkcMAMMef7uJr2Bs2+/kuw//4ZRm/+HcTpxDmkYKR2/12h2++IFnFkZpJ4wk36XnA6AMzuTrGsvZNS3r5F9+5Vhl5F08H6hGzweHKnJYTtZOPwX1hljSDpoYthuFM7+GVDvxqqsDtke3P6u/Jk3AXBvKejyjhmNhVtjzUer2HbqlVhuNwDVH3wGQPa83+oCQBERkWYYYx41xhQaY75q5vGzjDFf+P/7yBizT6TX2BEKmmNE9bIv2HnHo3hrakO2e1roMJHwkz2abHNmpJFx0an2BXP9Lp5Lwn7jGZb3GMPyHsc1OKfJcwJMfFyzw0YcqckhZRaB+unk3Mn0v/VXDH37QQY+/icGP3tn8y8y+HiZ6YCvM0aw+o2+oDlu7G64N2+j5rNvfEHzsPAt87pSc6Op675ZB4A7vwDXboPJ+PmJ3b4WERGRHuxx4MgWHl8PzLAsayJwK/BQJBbVWSrPiKD6Tdtw5xeQdPC+TR4r+sPd1H35Pc7MdOKpprL2Q5LnTKXmszUkHLCXXabhHJRN/NjdSDu9pe/FBq4hAxj2Ttd8Lw575yFqlq0mafoBmMR4AExCvJ2xbg9nVgbgG6nt3raDpCkTAXBv2gb4MubbTr6CLUf8AoD4McO74iW0KGnafiTNmNTkYr/82Rew2+rnfUFzM/2uRURExMeyrPeNMSNbePyjoLvLgGHdvaau0GLQXFlZSUVFBXl5eRFaTu829Od/wlFZQ9WUvagflkPZGYcBkL5wMRlffg9A4a0PMLC6lu1A9b57kLRpG9tPmU6Ku46k1T+wc/pPKDvN1+mBaPy7JAErPu30YeI3bmIgvt7IANvu+hX95r+LFeciMSWRTz3l9DtmKmmvfwzAlwOS8HTT6w3+Hk+YOZGMbQU4qmuJ21xo77PiuZfJ/GEjtRNG8b1+HjpNv1ciS+c78nTOI0vnO+KyjTHBGaaHLMvqaIbuAuDNLlhTt2sxaE5JSSE1NZXc3NwILaf3stxu1lXWAJD8yTfwCez9m/OJGz6IjRf+FS/gSE8F/xhsgKRVvkD6wGsuw/zBQd236xk9dmSrE+t6grphm9j8x4Ya7VHPf0jNym8BiNt9BLm5uVS6E9nuD5oPOfWEbnvdeXl5Dd/jublw2XlsOfHX1AQFzXsmZlC8q5ycSfswUT8PnRZyzqXb6XxHns55ZOl8R1yRZVmTOnsQY8xMfEHzIZ1fUvdTTXOEVC36BIDkOVMZ+pavdVrNB59R9tQbeEsrGPLK/eTce23Y5wbqjOPHjeoVATM0lGcE1Hz4uX074/yTAHDlZNrbIv2643YbEnK/+Pr7wOtVeYaIiEgXMMZMBP4NnGBZVnG019MWqmnuZt7KanZcfRfViz8hbvQwBj12GyYhHkdmOiUPPEfKkYdgUpJImuq7cLRocA6ebTvIvOYCnBlpuIY0f+FeT+bISA27Pee+P5B+xlEAuEYMBiDruosjtq6A7Nsux5GW7OtL/e7Hdq9o1/BBrTxTREREWmKMGQG8AJxjWdZ30V5PWylo7ib1G7ZS9sRLlNz/NACJB+9L/5svwyT4LqDz7irDu6uMilcW42o0Bhsgfo/dSD1+ZkTXHEnN9TgOBMwAzsx0Rm14p0lbvUhwpKWQfduvAV9Hj02TfBc7RqKLh4iISE9mjHkayMVX+5wP3AjEAViW9QBwA9Af+Kf/k2R3V5R7dDcFzd2gftM2Nh96Lla1r31c6ilzGPCv60NKDPrfejnF19+HZ3sRcYfsb29P3H8vKl9fQvyeoyK+7lgUjYC5seBSDZVniIiItMyyrDNbefxC4MIILafLKGjuBhUvLsKqrmXY//5N/N5jwo5azrjoFIpvfQDq6nENbsg059x7DZt2H8AY/1S9vmTUureivYRmDXn5Pqr+9zGOoMmBIiIi0ncoaO5idT9uYudtD5Kw/3gS9hnX7H7G6SR59hSq3vwgZLqcMz2VqkMmRmKpMWP4x/NxJCXgSEuJ9lKalXTwvmH7a4uIiEjfoO4ZXazytfcByPy/81vdN/GAvQGwauu7dU2xLm7McJU9iIiISExT0NwGu/7+JDt+17bx0NUfrSJu3EhSDjuo1X0TJ/mC5vjxfbN+OfP/zsOZk9lr2uiJiIhI76XyjBbUfb+RsidfofSB5wCoyvuUrD9cTOpJs8MGepbXS+3Kr0k5LrdNx0+ath/D3n+iz170l3X1+WRd3XpGXkRERCTaFDSH4a2pJX/ORdSvXR+y3b1xG4W/uBlnvzSSZ01p8rwdv/4L3tIKEidNaPPXShg/utPrFREREZHupfKMMCpfWxISMGffcVXI49tO/x0/5kynfOE79jZvZTXlz/q6PyRN3x8RERER6T0UNDdSs/JrCn95K46MVEZtfJehbz5A+rnHM/jZpjXNhb+8FYC6tevZnHseAFnXXkScf5KdiIiIiPQOCpr9PCXlFF51B1tPvQpHeirZ836LIzmRxEl7+9rDzZrCmB1LcQ4Z0OS5W064HPeGLQD0u+yMSC9dRERERLqZgmag6v0VbJp8OuX/eRWroooBD9xA2kmHhd03+7bLm2zz7iwFwNE/wx6TLSIiIiK9R58JmuvWrqfyrQ/wVlRhWZa93bOrjO3n/gFvRRUZF89l5JpXSJkztdnjpB6Xy+jC90k9aTYAVm0djvRUANJ/emz3vggRERERiYo+0T2jfl0+mw/9GfiD5YxLzyD75ssAKPnH01iV1Qx95yES9xvfpuMZY0g5dgYVLy6i9psfcWSm4RzUn6w/Xtxtr0FEREREoqfXZ5orXn+fTVPOBMsi45LTAKhd+Q0AVr2b0kdeIOnQA0jYd892HTewf+3na3FvKSTlqOkYR68/nSIiIiJ9Uq/INFuWRcXz75IwcSz1G7bgGjYI9+btWNW1FFx0o28nY+h/y6/wllZQ/sybuAuKqV+Xj1VRRfp5J7V7Kp1rSA4YQ83yL8HtIW70sG54ZSIiIiISC3pF0Fzz0Sq7/Vtzhn/wJMYY4sbuBpbFxgkn4shIBYejQ32VjcuFMzuTmo9XAxA3SkGziIiISG/VY+sJKt/6gPwjLqbm0y+pfPejZvcb+u7DjNmxlPixIwFIO/Vw+zFvaQXZt1+BMyOtQ2vwVlXj3lIIoEyziIiISC/W4zLNNZ9+yfbzr8dTUAzAlmMuxZGWQtKhB9Dv12eTMHEsJj6OkvufwqqtJ7FRrbJrUDbDl81n80FnAZD+sxM6vJbkmQdS+doSAJwDsjp8HBERERGJbTEfNNdv3o5rYH9MfBwAxX/5N56CYhL2GUfynKnsuvNxvOWVZF71M5Km7Wc/L+v3FzR7zPgxIxj67sN4iko6dfHewEduYfu5fyBuzPB210SLiIiISM8R00Fz/fotbDrwDOJGDaP/LZfh3lJIzQefkXXtRWRedS5WXT277p1PxnknhgTMbdE4A90RxuFg8H9v7/RxRERERCS2dVvQbNW7sdweHEkJ7X5u9QefUfTHe6n7+kcA6tfns/2cawFIPvxg+v3qTABMfByj170F/iy0iIiIiEh36LYLAQt+eSvrRxxG/uEXU73sC6o//BxvTa39ePmzb1G1dKV9vz6/gPyjf0nxzf9k60m/sQPm7L9cEXLcAf/8o12qAWAS4lUaISIiIiLdql2ZZk9JORUL3yF5zlTidhvS4r61K7/2/f/zNWw97jJ7+8i1r1L98WoKf/UncDkZ9s7DxO89htJ/PUvt8q+oXf4VzpxMUo6bScrR00meMYmEfcZR+vBCkg7Zv8OdLkREREREOqpNQXPRDfdT+q9n7ftJb3/IkAV3hexT+eZSdt39H2o/W4NJjMeqqSP9vBNJ2H8vdlz+Z3u/nX9+mKoly3133B7yZ51P8hHTqHr7Q3A5iR83kuy/XEnS1H3s5yROnkDi5AmdeZ0iIiIiIh3WetBsWSEBM/j6Gze2/dw/NDylpg4AZ04WqcfOoOrdj0meM5Udl/+ZsidfASDrj79g520PAvgCZmD4B/8hfszwjr0SEREREZFu0mLQ7N1VRtymAvt+4pSJmHgXdd9vCtmv6Nq77dsJ+4/3ZYYP/AnJcw7GkZTAoEduASDlsIOoeP196r/bSL9Lz6Duq++peOk930JGDlXALCIiIiIxqcWguX7zdtJefB+MIeMXc8m69iJK//Us1Us/Y+Pk09lt+bN4K6oo/ffzAGTfcRWpp8zBmZ4a9njO7EwygoaJDHz4ZurW5VP3xXckH3pAF74sEREREZGu03L3DMsi5cMvSTl2Btm3Xo4jORHXqKEAuDdspe6HTVS+4xthPfjZO8k476RmA+bmZJx3ki8ov/jUjr0CEREREZFu1qYLARMPbLgIL+mQ/e3bm6eeRcrR03EOGUDSjEkdWkDaWceQNvdwTEJ8h54vIiIiItLdWsw0x40eRskZs0n/+Yn2NteALAY+fLN9v3rZF8TvOQrjdHZoAcYYBcwiIiIiEtNaDJodaSmUn5KLIzF0ql/qibMY/MydAHh3lhI3cmj3rVBEREREJMo6PBHQOTjbvp0wYUyXLEZEREREJBZ1OGgOngiYPOfgLlmMiIiIiEgsatcY7WCOlCTG7FiKZVkYY7pyTSIiIiIiMaXDmeYABcwiIiIi0tt1OmgWEREREentFDSLiIiIiLRCQbOIiIiISCsUNIuIiIiItEJBs4iIiIhIKxQ0i4iIiIi0wliW1eyD2dnZVk5ODikpKRFcklRWVuqcR5DOd+TpnEeWznfk6ZxHls53ZK1cudKyLKvPJV5bHG4ycuRI7rzzTnJzcyO0HAHIy8vTOY8gne/I0zmPLJ3vyNM5jyyd78gyxnwW7TVEQ597lyAiIiIi0l4KmkVEREREWqGgWURERESkFQqaRURERERaoaBZRERERKQVCppFRERERFqhoFlEREQkiKdoV7SXIDEo5oPmDRs2kJmZycyZMznooIM4/vjjWbt2bZcd/+c//zn77bcf06dPZ8qUKcybN4+WBr50hWeeeYZHH30UgNzcXE466aSQ9Xz55Zdd8nWKior46U9/2iXHEhER6Qsq3/qADeOPp/qDPtmKWFoQ80EzwAEHHMDixYtZtmwZ1157Laeddhq1tbUh+3g8ng4f/7777mPp0qUsWbKElStX8sQTT3R2yS168MEHOeecc+z7GzZs4PPPP+/yr5OdnU1aWhqrV6/u8mOLiIj0RtUfrQKgdvW3UV6JxJoeETQHmzp1Kj/5yU9YsWIFeXl5HHHEEcydO5frrruOp556ipkzZzJ16lQuvPBCLMviiSee4O677wZg0qRJPPDAAwAceOCB1NfXhxw7MTGRW2+9lfnz5wPw6quvMmXKFKZOncqtt94KwHnnnceqVasoLS3F5XKxdu1aCgsLOeKIIwDYfffdufHGG5kxYwann356k/WvWbOGgQMHEhcXZ2+7/vrrufnmm5vse/PNNzN16lSmTJnC66+/DsBNN93EBRdcwPHHH8++++5rZ92XLFnCjBkzyM3N5ZJLLrGz5UcffTQLFizo+AkXERHpSzxe3/+dzuiuQ2JOjwuaAYYPH86WLVsA2Lp1K0899RS33347J5xwAosXL+bjjz+mvLycpUuXMnv2bBYtWsSuXbsYMmQIS5YsoaCggKysrJDAtfGxvV4vV111FW+//TYfffQRS5YsYfXq1cyaNYtFixaRl5fHMcccw6JFi1i8eLE9vtPtdnPSSSexZMkSdu3axVdffRVy/K+++ordd989ZFsggA/ONq9atYqlS5fy0Ucf8fbbb3PllVfi9fp+kNPS0njllVe4+uqr+fe//41lWVxxxRW88sor5OXlkZSUZAfZY8eO7bJyDxERkd7Ocvs+uTbOHhkiSTfqkd8RmzdvZujQoYAvexwIft9//31mzZrFjBkz+OSTT9i8eTPDhg1j27ZtLFq0iOOOO47KykoWLVrEzJkzWzz2jh07GDhwIP369cMYw0EHHcS3337L7Nmzee+991i8eDE33XQTS5cuZfHixcyaNQsAl8vFvvvuC8CIESMoLi5u02u66aabQrLN3377LQcddBDGGPr168eAAQMoKioCfOUqwccvKipiw4YNnHDCCeTm5rJ06VLy8/MBsCwLY0x7T7GIiEjfFCj3dCnTLKF6XND86aef8uWXXzJp0iQAnEEfn1xzzTXMnz+fJUuWMGXKFLtEYdKkScybN49Zs2YxceJE7rnnnrBBc21tLTfeeCNnnnkmOTk5FBQUUFJSgmVZLFu2jHHjxjFkyBAKCwtZs2YN++23H1VVVSxfvtwOZBtrfFHhhAkT+OGHH5rsN3nyZNxut51tHjduHMuWLcOyLEpKSigsLCQ7OxsgJAi2LIvs7GxGjx7Na6+9Rl5eHitWrOBWujrNAAAgAElEQVSCCy4A4Pvvv2fvvfdu8/kVERHpyyx/0GwUNEsjrmgvoC1WrlzJzJkzqampITs7m6effpqEhIQm+5177rnMmTOHPffcM2T77NmzefPNNxkzZgyzZ8/mvvvuCwlyL7/8clJTU6mrq+PEE0/kvPPOwxjDvHnzOPzww3E4HBx11FHss88+gK+coqKiAoD99tsPr9eLy9W2Uzl+/Hi2b99OXV0d8fHxIY/deOONHHjggQDsu+++HHzwwUydOhWv18vf/vY3HI7w73GMMdx1110cf/zxWJaFw+Hg73//OxMnTuT111/n0ksvbdPaRERE+jx/eQYOBc0SyrTUXm3SpEnWnXfeadfrStd45plnqKystLPBjeXl5XXJOS8qKuLyyy/n6aef7vSxerOuOt/SdjrnkaXzHXk655HVlee74NJbqVjwDgPuv46004/skmP2NsaYlZZlTYr2OiKtR2Sae5szzjgjIl8nkJUXERGRNgp0z1B5hjTS4aC56Lp7qf3q+y5ZRMKEPcj+06+75FgiIiIiHWXZ5Rm6iF5C9bgLAUVERES6TaB7hrd7pwNLz9PhTHO0MsO777572O4TnXXhhRdy9tlnd1sNWk1NDRdccAGbNm1ixIgRPPLIIyQmJjbZr76+nrPPPptLLrmEP/7xj3zzzTf2hXy1tbV89913bW5jJyIiIu1jBcozOjFpWHqnXpFp7swI7Uh5/PHH2XPPPVm6dCnjxo3j8ccfD7vfgw8+yIgRI+z7e+21F3l5eeTl5XHllVcyd+7cCK1YRESkD3K7gaDgWcQv5oNmr9fL2WefzYwZM7jmmmvs7Y8//jhz587lxBNP5J577uGuu+5i1qxZTJ48mRtvvBHwjaF+6aWXsCyLnJwc3nrrLTwej93jecGCBey7776ccsopbN682T52uPHVBxxwAF6vl1dffZXBgwfbz//zn//Mhg0bOPDAAzn//PPZf//97bHdwfLy8jj22GMBOO6443j//feb7FNRUcGbb77J9OnTw56L//73v5x99tkdOY0iIiLSBnZNs4JmaSTmu2e8/PLLpKSksGTJEj788EOeeeYZ+7Hy8nLefPNNjDFUVlZy1VVX4fV6OeSQQ7jggguYNWsWzz33HKNGjeLggw9m0aJFZGZmcsABB+DxeLjuuutYuXIliYmJdg/m4PHVpaWlHHjggRx11FHsu+++fP7557z33nsceOCBfP3117z33nuce+65AOTn55OXl4fD4WD8+PFcccUVIa9j586dZGZmAtCvX7+wJRbz5s3jiiuuYNGiRU0eKy4uZu3atUybNq3Lzq2IiIg04vWG/l/EL+Yzzd9995098GPKlCkh0/CmTp1q33/++ec59NBDmTlzJuvWrWPz5s0cdNBBfPLJJyxevJhf/epXrF271h55XVRUxMCBA0lLSyMuLo79998faH589ezZs1m0aBHfffcdl112GYsWLWLFihVMnjwZ8A0tSU5OJjExMWRKYUBWVhYlJSUAlJaWkpWVFfJ4YWEhn3/+OXPmzAl7Hp599lnmzp2rkdgiIiLdKJBptnpA6adEVswHzXvssQcrVqwAYPny5SFjqYOD0+uvv563336bxYsXM2rUKCzLIi4ujv79+/P8888zbdo0srKyeP7558nNzSU7O5uCggIqKipwu92sWrUKaH589axZs1i4cCHZ2dkccsghLFiwgAEDBtiTAFsLZmfMmMEbb7wBwBtvvMGMGTNCHv/iiy/YsWMHRx55JM899xxPPvkkr776qv34/PnzVZohIiLS3VSeIc2I+fKME044gYULFzJjxgymTJnS7Ljqk08+mWnTprHnnnuSmppqb581axavvfYaycnJ5ObmsnLlSgYOHAjALbfcwiGHHMKoUaMYOnQo0Pz46kGDBlFZWUlubi7Jyck4HA5mzpzZ5tfx85//nPPPP5/p06czbNgwHnvsMQBuv/12jjnmGA477DAOO+wwAK655hpSU1M57rjjAFi3bh21tbWMHz++/SdQRERE2szyl2XoQkBpTGO0Y5DGr0aWznfk6ZxHls535OmcR1ZXnu/8ORdRu2ot/W++jH6XRmaCb0/TV8dox3x5hoiIiEikBGqZVdMsjSloFhEREQkIdM1QeYY0oqBZRERExE99mqU5CppFREREAgIt59SnWRpR0CwiIiIClC94G8/OUt8d1TRLIzHfck5ERESku9WtXU/hpbfZ99VyThpTpllERET6PG91TegGBc3SiIJmERER6fOMIzQksrwqz5BQCppFREREGlOmucOMMcONMYuNMWuMMV8bY37T6PHfGWMsY0x2tNbYEQqaRURERBopf/qNaC+hJ3MDv7UsazxwEHCZMWYv8AXUwBxgUxTX1yEKmkVERESMCbnrLa2I0kJ6PsuytlmW9Zn/djmwBhjqf/jvwNWAFaXldZixrObXPH78eGvevHmkpqZGcElSUVGhcx5BOt+Rp3MeWTrfkadzHlldcb7j1m9l0NX/Ctm2ecGtnTpmbzVz5syNQFHQpocsy3oo3L7GmJHA+8AEIBeYbVnWb4wxG4BJlmUVhXteLGqx5VxKSgqpqank5uZGaDkCkJeXp3MeQTrfkadzHlk635Gncx5ZXXG+a/t/Tz6hQfOM6dMxTmenjttLFVmWNam1nYwxqcDzwBX4SjauAw7v5rV1G5VniIiIiDQqzwDs6YDSfsaYOHwB83zLsl4AxgCjgNX+LPMw4DNjzKDorbJ9FDSLiIiIBMXMiVP3AcBS0NwhxhgDPAKssSzrLgDLsr60LGuAZVkjLcsaCeQD+1uWtT2KS20XBc0iIiIiQRzpvvpoS6O0O2oacA4wyxizyv/f0dFeVGdpjLaIiIhIUF8ER3oKAJ6CYqyqGlyDelQ74aizLOsDQnL3YfcZGZnVdB0FzSIiIiLehmEmgUzz5oPPBmDMjqVRWZLEFpVniIiIiAS14HWkJkdxIRKrFDSLiIhInxc8t8IkJURxJRKrFDSLiIiIBJVnmIT4KC5EYpWCZhERERFvUHmGgmYJQ0GziIiISHCmOVHlGdKUgmYRERHp80JqmhOVaZamFDSLiIh0gV13PUntmnXRXoZ0VFB5RuOaZsvtjvRqJAYpaBYREekkq7aOnX95mK3HXhbtpUhHhZRnhAbNVe99EunVSAxS0CwiItJJ3to6AKy6uiivRDqq8rUl9m2TEFrTvP2sayK9HIlBCppFREQ6yarxB8tOZ3QXIh1W+u/n7dsmTgOTpSkFzSIiIp1k1dQCYBQ09wrGpX9HaUpBs4iISCdZ/vIMFGz1Dg5Hy/elT9J3gYiISCcFyjOUae4d7DdBfilHTovSSiSWKGgWERHppEB5Bk79We0NvJXVIfcdGWlRWonEEv10i4iIdFIgM2kUNPcKCXuPCblveTxRWonEEv10i4iIdJK3RjXNvYlr6EAS9hvfsMHjbX5n6TMUNIuIiHSS3T3DoaC51wgadoIyzYKCZhERkU5T94zex7IaxmpbbgXNoqBZRESk0+zuGQqaew+vFXRb5RmioFlERKTT7O4Z6ufbe1gNgbKlmmZBQbOIiEin2eUZ6p7RewRnmlWeIShoFhER6TSVZ/Q+lr8kwyQlqOWcAAqaRUREOs0bKM8ASh5aSPLS1VFcjXQJf6bZJMSrplkABc0iIiKdFijPsNweiq+7h/73LozyiqTT/N0zTJxL3TMEUNAsIiLSaYHyDNzu6C5EOm3AAzf4bgSyy06nhpsIoKBZRESk0wLdM6x6ZSR7usRJewPQ7zdnA+AaPsiub5a+TUGziIhIJ9nlGYEuGtKjBA8yCbQNTP/pMYzZsRRHWoq6ZwigoFlERKTTAuUZnsLiKK9EOiQoaDYOE/KQcTrUPUMABc0iIiKdZpdn1CjT3CMFl180HlDjUk2z+ChoFhER6SSvyjJ6tuCg2DTKNDucyjQLoKBZRESk01TL3LNZwdP/GgXNOB3KNAugoFlERKTTrOpaknInR3sZ0lEtlGcYlxOUaRYUNIuIiHSaVVuHIz2VEZ8twDVyKN6khGgvSdqjhQsB0YWA4qegWUREpJOs2jpMYjxxwweRelwupl5DTnqSkKC4cabZofIM8VHQLCIi0klWdS2ORF922cS7MG5PaO9fiW0t1TS7nFgKmgUFzSIiIp1m1dZhEuIBMPG+/6Nsc88RUtPcuE+zE6uyWm+CREGziIhIZwXKMwCId/m21dVHcUXSHsGZZNOoPMM1YjDesgpqV3wd6WVJjFHQLCIi0gmW1+sPmn3lGc6sDADcWwujuSxpD2/z5RdJ0/cHwLOrNFKrkRiloFlERKQTrFpfRjlQnpE4aW8AapSZ7DmCSy8alWGYuDjf5np10OjrFDSLiIh0QmCwSSBojhs1DFCmuScJudAvzhXymAncV416n6egWUREpBOsmloAu6bZxLnwJifiLdbH+T2Gvzwj67qL7S4otjgngHo1i4JmERGRzvBWVgPgSE60t3nSk/HsVNDcY/hbzrkG5zR5yDj9F3Yq09xmxphHjTGFxpivGm2/3BjzrTHma2PMHdFaX0cpaBYREekEKxA0pybb27xpKQqaexA7i9x4GiBg/JlmlWe0y+PAkcEbjDEzgROAiZZl7Q3cGYV1dYqCZhERkU7wVlQBYFKCgub0ZDxFJdFakrRX4OI/R5iwyOXPNKs8o80sy3of2Nlo8y+B2y3LqvXv0+OK/l0tPVhZWUlFRQV5eXkRWo4AOucRpvMdeTrnkaXz3b2yb3uCJGDVd2uosyoASEuKp2rDRp33COns97grv5DBwDdr11KdFxfymKOskqHA92vWUqF/z4BsY8yKoPsPWZb1UCvPGQtMN8b8CagBfmdZ1vJuW2E3aDFoTklJITU1ldzc3AgtRwDy8vJ0ziNI5zvydM4jS+e7e/0493oAJk0/hPg9RwHw+X/eJq6yhhkzZmAaj2WWLtfZ7/G6tevZDOw9YQKpjY7jKatgA7ez+8iR9NPPUUCRZVmT2vkcF5AJHARMBp4zxoy2etCoRZVniIiIdAGTGlqeYdXUYVXVRHFF0lYt1jQHyjPUp7mz8oEXLJ9PAS+QHeU1tYuCZhERkS7gSEmyb3vTUwDwFKuuuUfwd88wzqZhkXH5LwR0K2jupJeAWQDGmLFAPFAU1RW1k4JmERGRLhDcPcOT5ru96YDTqN+4NVpLkrYKjNEOdyGgf7iJ5Vb3jLYyxjwNfAyMM8bkG2MuAB4FRvvb0D0D/KwnlWZAKzXNIiIi0rzA3/yMS05rmBwHeNMaAujyZ98i6+rzI742aTvLDprDlGcYA06n+jS3g2VZZzbz0NkRXUgXU6ZZRESkgwIjtJ3ZmSHbA+UZAM7+/SK6JukA/xjtwCCTxozLCWo51+cpaBYREekgq8YXNJuE+JDtnvSGTHMgsJbYZQXqlcPUNAPgUqZZFDSLiIh0mFVTC4BJSgjdHjxSu6Q8omuSDvBnke2L/hoxcS4FzaKgWUREpKMCmWZHYmjQjDEMenoeAF4FzTGvIdMcPmhG5RmCgmYREZEOszPNjcozAFIOO4i4cSOpX7c50suSdtp26pVAC5lmlzLNoqBZRESkwwL1yo3LMwJS5kyleulnCrh6ihbLM5Rp7usUNIuIiHSQt6IKCB1sEsw1dCB4vapr7iFMM+UZxuUC9Wnu8xQ0i4iIdJC3rAIAR1pK2Mcd/dJ8+5UqaO4Rmsk0E+/CqquP7Fok5ihoFmmD2i++o+Rfz0R7GSISY7xllQA40lPDPu7I8AfNyjT3CM3WNMfHKWgWTQQUaYv82RcAkHHJ6b7pUCLSp1mWRfHN/6Tm49UAONLDZ5qd/kyzZ2dpxNYmndBceUZCvIJmUaZZpF10MY9In2RZFjv/+gj1+QUAeHeVUfqPZ6j9bA3QQnlGZjoA28/6Pe5tOyKzWOmwZmua4+Psiz6rFn9K/br8SC5LYoSCZpF28FbXRHsJIhIF7s3b2XXn42za71S85ZVNso4mPi7s8wLlGQA1y7/q1jVKx1iW1XCnhfKM+o3bKL7lAbad9ls2TTkzQquTWKKgWaQdrCoFzSJ9kruh3Vj9unx7qElrAuUZAO4tBV2+LOkCQUNLWqpp9mwtpOS++ZFalcQg1TSLtINXQbNIn+StbQiSvRVVIcNM4vfevdnnmbiGP7P1G7Z1z+Kkc7xBmeZmyjPq1q6P0GIklinTLNIOVnVttJcgItEQVI7hKSm361v733QpQ1/7R5sOUfvZN3hr9Dsk1lher327uUyzhtMIKGgWaVXlWx/Yty3VNIv0apZl8WPOdIpvfSB0e3CmuaTcDn7j994dR2pym45du2ot206+ousWK10jKNPcbHmGU+GSKGgWadX2c661b+tCQJHeLfBpUsm9obWrIeUZpQ2Z5uAyjeY4hwywb+tiwBgUlGlurjyD4IsFpc9STbNIM6qXfWGPyA1QeYZI7xaY8IcjNKdk1QaVZ+zYieXPNJvE1oPm3T57jtrP1rDl6F/6jmVZ6vceQ1SeIW2lTLNIGBUvL2brcZex/cz/C9mu7hkivVtg3HWTYLiuIdNc9/0mu3uGSUxo9ZjG6SRx8gSyrr3It0EBWGzxtt5yTkGzgIJmkbCqP/w87HaVZ4j0bh7/uOvGfZcDmea4cSOp/2GTXZ7haEN5RkAgEA+uj5YYENxyzhE+LNI0QAEFzSJhuTeFtoZKO+sYQOUZIr1d2eMvAb6L/aygYCpQ0+walI23rLKhPCOp9UxzQCAr7dXvkZhieVuvV07/+QlNtlW990l3LEdimIJmkTAat4VyDcr2ba+qjsZyRCQC6jdspWLhu/b9ssdeanjQn2l0ZKThra7BW+n71Kkt5RkBgYsGlWmOMcEXAjaj/42XNtlW+/na7liNxDAFzSJt4OzfD1CmWaQ3s9yhdaue4pKGxwLlGBmpWDW1eHeVgdOJIyO1zccPZKUt9WqOLW3ojBHuwk1HVnp3rEZimIJmkXAa/RI1aSmYxHj1aRbpxRrXrVa+85F9O1Ce4eyXBm4P7oIinFnpzdbAhmNnmts4glsiJKgMpyXD/vfvkPu6MLzvUdAs0gaOlCRMUiLeKmWIRHqrxm+K6774zq5rDmSHHZm+7KJ7SyGOrIx2Hd+RqExzLGpLTTNAwj7jQu57K1Wu19coaBZpg0DQrEyzSNutH3csO+c9Fu1ltFm4DHAgMLIqqzEJ8fb0P3d+Ac52Bs2B7hkapR1j/DXNOff9oX1P0zUufY6CZpEgFS+9x4850/GWlIVsNylJOJISFDSLtMKyLCpeWYynuATvzlJ23fFotJfUZt4wH7d7yyp9/6+swSQnYpISAfAU7Wrz+OwAu+WcyjNii8cXNBtH+wbOWMo09zkKmkWClD72IgB136wL2e5IScYkJ6pVlEgrapd/RcEFN7Bhz+Na3M9dUEztl99HaFVtE3hT7Bo2kAH/uh4Ab7kvaLaqqnGkJNklFt7SCkx823s0A3bArWArtliWv3tGe+rTU5NVntEHKWgWCRI3fFDY7Y6MVBwqzxABoH5dPp7iEuo3bm1y8Vy4yWlWmO4EW469lPxZ54d9LFoC3XGGPH93Q8ec8kp23Tuf8mff8mWak/0t5iwLE+9q1/GdOVmAbwy3xJBATbOz7SGRKydLFwL2QQqaRVqR/deriBs+yJdp1i9J6aV23TufqqUr27TvpilnsnG/U9k06XQKr7wj5DErTM9bq6IK8A2D2HLC5VS+9QHuDVuBpoOEoilQa2ySE3GkpQDgKatk560P+LbHuXBmBtUxx8U1OUZLnP0zwOXEXVDcNQuWTqta/GnDSHTT9pDIkZXeJNNsWVZMvQmUrqegWSRIuI/bUo44GPD1WFWmWXqrnbc+wLaTr2jz/oGsbNXbH4RuD/Mz5C7ciae4hG2n/46aj1ax/Zxr7cdiqUQj8PNtEhNwpPnqlb3lFfbj3tIKEg7Yy84YtzfTbBwOcHsouee/GsscA2o+/ZJtp/2W4tse9G1oR02zIyUp5HvdqnezbsCh7PrrI129TIkhCpolarzVtbgLY+djSm9lNZWvLWn6gD+b5EhKxFLLOZEQVn1oj9uQT2OcTgBKH1zAlmOaTlQDKHvylabH9HiaDBqJBG9JORiDIy0Zhz+jXPPRKvtxz84yjMOBc1B/AEw7M83BIl2i4a2qofSRF/RpWRD31h2+/6/f4tvg/35tC5OShLeqmqq85bi3F+H1v+Ha9ff/dPk6JXYoaJao2Xbab9m49wnRXoatvpmPiU287w+jSUqwfzGK9FVNgtlGgyGsyir7tssfXJY99iL1P24Oe7zqxZ/iKS0P2bb9nGtZN3hmF6y2fTw7S3FkpmOcTpz+aW/Vy76wH08/51igYUJoezPNAAMfu83/tcpa2bNrVf3vY4qu+TtF194d0a8by6w6fxcT/79jW7pnOAf4PmVwJCfhraxh29yr2DzzvIZpsW0YyS09l4JmiZqaZaujvYQQzf1RN3G+X6i6EFCk6Sj5xhf+eSsbfkZMarJdG9ySkvueAmD7hTdSfPM/qXr34y5Yaft5ikoaAmKXC0dmOu7N2wEYvmw+/W+9HACnf8BJ4A11ewSeW3L/U5Q++mJXLLtNKt/yldEEjwbv66xaX4mMcfnf/LShe8bwj+ez25cv+sszfG8QvUUlTX4upHdS0CziV3DeH8NuD/RWNUlqOSfSpO6/UWat+OZ/2rcT99+LESuete+nnX4k/S4/q+HxqfsAUPafVwGofPk9Su5/2n68fl1+l627LTzFDUEzgDM7065bdaQkY4wvExko3ehIeUbg+BUv/I+i399Fzaq1nV12q7zVtVQseAdoGOUtDWPTA4kRTBsyzempuAZlY1KS8JQ21LtrymPfoKBZoi7WrzY2/jo3k5IIdfXUNZORFukLwrXZ+jFnOjWffum74/aVawxb8jjZf73KN3ban5F1Dsii/w2X2M8bsvDvpF9wMlZtXdgL4zZNObMbXkHzPNuK7I/fAZz90uzbJinBvu1I92fPXW2vgbWf22iKoF1P242ChzVZmmJns8sz/P+Opj01zfFxEPQ9W/1xQ+17rP9Nk45T0CzRF6ava6wYtqjhSmiHfzDB5oN+Gq3liHSLcG3imtNcXf+WYy61W7alHDuDhL3G4EhK8GVn/cFF4uQJgO8j7mHvPYqJjyN+zHCsymrWDZsd9rjVn3wRdntX85RVUL8+n4S9d7e3mZQk+3ZgqAkETfbrwO8uZ/9GQfOOXe0+Rnt5djUEzboQsEHT8oy2d8+oWxM6AKvo6rvs2/U/bOr84iQmKWiWqOvIH55IGL5sPgkTx9r3kw7ZP4qrEelG7oaL+Vr7eWxpoEP9txsASJ55YMj21JMPI27cSJKPPASA+N1HkPCTPQCIGz3cf+Dw2bmaT75scT1dpe6L7wBI2Gecvc2R7HujjDF2thwaAuiOfCQfks10OvEUdX/Q7PUHzSYhXtMIg1i1/v7Mcf5/k3ZMBMz8v/Oafcy7K7IXeUrkKGiWqItGa6m2iB8zIuR+wsSxpBwzA9fQAVFakUj3sDwNmebWAsGWOsjUfbcBAEdQXTDAgAduYPj7T9g1wcHiRg8LuT/y+zcYcP919n33xq0trqer1K7+FoCEfRreKBt/0GySEkPWbuygua5TX9PEuyj5+5PUfbu+U8dpjafE153ENXRAl2SaLa+XXfc/ZY8Y76nskqBACV47JgImTNi92ccst6fZx6RnU9As0RcDmWbL07Zfcs4BWbi3FKquWXqXoO//1oKqwEfa4dSs+AYAZ6O6XWOMb7BHGK7hA+3bWTdcgrNfGmmnH8mYHUtJ2G98s60gu5p7SyGO9FSc2Zn2NpMUCJpDL54LXEwXyFS21+AX7mbQf2+3Oy6UzX+9yT61a9Z12eTAQObTNWxgl9Q013y8mp03/4sdv53X6WNFkx3cBr7/23AhoK2F+udYTQRJ5ylolqgrX/A2ZU+/EdU1BH8kPeTl+xj65gNh9wtcDLR5+rkRWZdIJAS/aWytdVZLk+zKHn0BCLpQrg2My0XGxXNJPXEWmUGdNQCcA/tHbAiIVVffpLNEoDwjuJ4ZgmqaOxg0J08/gJQjpjHktX8AUPnmB9TnF4Tsk3/oz9h86M86dHyAitfft/tfe/wXArqGDAg79bS9Aq+/bm33Zsi7nb+W3x7Q047yjHCfmtjqlWnurdrfmV2kixXf4PvDkX7m0dFbRFDQnDBxLI7U5DbvL9LjBdc0t1KeYXccaEFbejMHy/7Tr8Nud+ZkUrvym3Ydq6Osuvomw0pMsu9CQNMoaA68vs62b0uaMhEA94YtbDnqEkZ+6evbXPLQQgC8O0s7dFz3jl0U/Pw6Eg/Zn6Ev3uPLNMe5cOZkdao8Y+vcq7Cqasjyd0Bxbyns8LFigv/73v6ebseFgC0Jl2l2F+7Eqq4hbrchXfI1JDqUaRYhNHsWyKKE1UKWTaSnCq5pbm3qZXB5RiBTCpB+3on27fYGzc1xZmfiKS5pc/lUR1R/+Dkb9z3Fl41t1HfZ4f9kyTUkJ2R78pypZF17Ef1vvqzL1uHZXmS3Kiu+7h57e0falwWGMNWu/BrwjQd39kvHkZIEdfUdvvi6Om+5r7Wg//ldkbWOpkBwa9X5/t+elnPB4ifsEXrcMOd3494nsGnS6R06fk9ljLnSGPO1MeYrY8zTxpjEaK+psxQ0ixD6S85uP9TKfhUvLurWNYlETDvKMwJvHFOOORRndsMFf4kH/sS+3eonNW3kyskEr7dbuxHs/PPDuLcUUrviG0xCaNAcuIAucdp+IduNw0HmVeeG9HHuCu6NTeu3O9I9JNDhxKquxVteiadoF47MNF+vecDbybpm+41TN76ZiYTA73Or3v96OphpbtxGUJ9EgjFmKPBrYJJlWRMAJ3BGdFfVeQqaJWb8mDM9al+7xv8RcPoFJ7e4X3DQXHDxTTHbLq+t6jdti0ifWIltwVf7t1rT7NBMQZgAACAASURBVK/jzfnb/+HMaAgagz92tiesdZIzxzdopDu/RwO9mD0lZU0m/KWdcRSpcw+n3y+772993Njd7Nvlz75p91TOuNT3Neu++ZG6Hze3q1NF8HjuzbPOp/KNpXi2FeHwl5u01DawLdxbClrfqQewa5n9meb21DQHa3zhqy4EtLmAJGOMC0gGItMKpxu1+JutsrKSiooK8vLyIrQcAfrMOR8eZls0XndFSSkFF90JwPoUB1+3sIas/HyCP3h+/3+LsJISmt0/1g2fez0ABbdcQN34kRH7un3lezxWtHa+nQU7CYS837yzmApn85nItDVr6Qd88OknWC6n/XP8af56hvpvd9W/bcKWjQwA1p92JQXzLsNqqXSqg/pXVZAMUO+mvLa66dpPm86aT5e1+7ht/R53XH0mOAz973qWwqdfZ22Gi4HAD2lOso1h08I3SP79XdQPy2H738PXfjc2/LGGoNm9wRenlE3dmx0b19MfWPZeHu6hOc08u4Xj+v8f3DVj2d8eJGHNBkrPPqLdx+tKHfmdkrVlCylA/XrfuPaVn31Gfcn2Nj8/cD62VVcQ/JnDmq++pionIey+eYsXt69LR+zKNsasCLr/kGVZDwXuWJa1xRhzJ7AJqAbesSzrnUgvsqu1GDSnpKSQmppKbm5uhJYj4PuD0xfO+Y9htkXjdX/w9PP27b32mUhqC2so/aGYovdX2/enTTrQ9xFyDxX4Nxh4wyOM2bE0Yl+3r3yPx4rWznfdj5sINFEcuqmYwS3su+uzTewEDp09CxMfx4/cjDMnk+knHsvWf7+Ja+iALvu3rRsyks03PUrc9p3sm19OxoWndMlxgxUs+JCKT3yfNGX0789eXbT29n6PF6/eTMn9TzMhOZMdwAGnncCWR98keflaAOLyd7TpeJZlsS7M9nFXno9nx062s5DJEyaGDHFpq3C/s3Nu/y8A+/37L+0+XlfqyO+U7U/8j+D8/eRpU4kfN6rNzw+cjxH77M2utz6xt4/YuJOB06eH1EgH9j30oINxJCXgLa/EW1mNa1B2u9YcQ4osy5rU3IPGmEzgBGAUUAIsMMacbVnWfyO1wO6g7hnS5zkLgz769bQ8Tjj9gpOp37iV0geeAzreckokpgRfCFha0eKudqcBfwnGkJfuJW7UUIwxDH39n126rEB5BtBlPYsbC66/btw9I5Kc/TPA46Fm+VeY5ERcwwaCq/0XpjXXccPZv59dy9wdo7SteneXleVESuMhJIG+3O3lzAwtz6h8fQnrRx/JqHVvNbm40KqswnI5WT/6SICIJisi7DBgvWVZOwCMMS8ABwM9OmhWTXMnFf/5YSpeWxLtZUgnOP0X+wB4K1quGzTGhGRorNr2j9EViTXBwYOnrLWg2dfPONCnNmnafriGdM+UTEfQhXaebTu65WtgNbxhMPFxLezYvRz+wKt62Wrix47EOBwMevy2kH28jdoBeqtrKX/uLSxvw2uo9Y8Db8yZk2nXNHdH1wtvaXnrO8WaRtek2GPT28k1fFCTbVZVTdg3oN6Kaor/9GCHvk4Pswk4yBiTbHy/LGYDa6K8pk5T0NwJ3spqSv7+JAXn/THaS+k1gn/5R4oJakTvLWvDxTbe4JHDyjRLz2ZZFjtv8/0Rd2RltJ5prq2PWHBpjKHfFecAUP7sW90S7AX/DEczaHZmpQO+GuS4sSMBSNx/L1JPmWPv49kemm0v/++rFF72p5BWZlVLljc5dvp5J2FSkuyhMx0NcIMz/43VrglXFBLbGl+wF+jL3V7xu48If/ww7Ru9FVXUrWkYCtORloI9gWVZnwALgc+AL/HFmw+1+KQeQEFzJ3g62Hhemtd42lj5C/9rNfPVWSaQZYuPI+WEWa3uHxxY96byjOZ+ebu3F7HtrN9T8+mXlPzjaYr+eG+EVybdqq6eqnc/BsCZmY631UxzHSRELrjsf93F9u1tp/+uy48fPMwlukFzQ/u++KCOGgRdM1bwy1tCn+TP9rs3b7d/fq2KajCGAfdfR/xeo+l/26/JueMqjDE4/fWzng6WurTUL3vbyVd06JjR1Lj7UYs9+lvgGuW7BNY5OPTiynBlMN7ScoyzIfTqbCeTWGZZ1o2WZe1pWdYEy7LOsSyrx380q6C5E+rX5Ud7CT1Wc798PUGtperX5VP4i5spvOSWsPt2GX/QPPKbl4kbNrDV3VNPPsy+3WpP2x6k6t2Pwm4vuee/VL3zEVuOuZTim/5J6YMLqPtxM0XX3Yt7e1GEVyldLXiwiTMrA6uqpsVR2b5Mc9d3sWhJ+vm+VpA1n3xB9cerW9m7fULe+EaxJtcV9LsnbuTQhgeCOi3U/7g5+Cl4K6oabvvLzLyVVbh2G0za6UcyfMkT9PvFXHsfR1oKJjmxwz+3LX1f9ERNguYOtpwzxjDyu9cZnvdY6PGDAmLjL/3w7CoLaW3XnlaCEn0Kmjth26lX2rejUVbQkwUmMDW2aXJDP9RA5qR21bfduhbj/4iurYGAMyuDoW/8C+hdmebtZ10TdrvlbZqB3nHFXyl9aAFViz4J8wzpUYLewDoyfSUC2876PWX/eRXLspq8wfWWV+JI65rhJW2V/ZffED9xLABbj/9Vl36k7Q1+42ui9yfRObC/fds1NKhG3L8mR3oqVk2t/bfG8npDPhXYctQleMsrqd+w1Tf5LwxjDK6B2Xg6+ma3hf7Dzp7YBaKTffYHL7iLgY/eCvg+pQn8/AQEf28FpmR6d5WGDFEJfuMjsU9BcxdRbWv72BOYGgueTObPaniKunf4RqA8oz1XzpsEX4Ddk4PmcIFH/fotTXf0Nv1UoGaZL9tnd1KQHiv4IsDAH/bqvOXsuOoOtp32WzYffHbI/t6yCpzpqRFdo3E4GL7oEZKPOgTAN8q5i4T8DIf5Xo8UE5RRDh7bnTRtXwCSj5yGVV2Lp6iEkn88zbqBM3AHXRxZ/+NmNkw8mdoVX7dYm+sc1L/jmeb65s+Pp6C4W8edd4fODqdKzp1M6nG59n3TqP9ycE2zI8P3M+PZVR6S0VamuWdR0NwJ8XuNtm+HK/iXFjT6mC9+wh72bffWQiDoj1l3XyhR7wGHo0lroJYEat969JuloD9wg566A2g66avounspe/zlZg/Rk980iF9wpjk9JeSh6rzl1K/LD5nI5y2tsAOASBv4z+vB6ezSTziCSw4Cb4ajZcir/yD1lDkhWdu0M49mt1ULSTn6UMDXRWTnHb4ygIqF79p1tM7BOVj+rGVzmWYA16Bsaj5eTcFlt7UrY295vSHfK0PfeqDRDlaPq8/t7sl9wXFB4JNM767SkJIbBc09i4Lmzgj6fePtRbWtkdDkHX7Qx1Wbpvmulo9UQGbcnnb3ZzWJvmlP3dHvNFICWaPkww/29Yil6espfWgB4Ku3DPnIOHCM2t5V49gXhcs0N+Yt+//2zjvAiWpt489M+mY3yfZCWRbkWsBeEQt2Rb2KBVFUFHuvIBbU67U3+K5drw1FURRsSBGxgYoIXrpKh+29pGfK98fMOZlJJnWzgYX5/bMpk8lkNpnznvc87/NKellRFBGqrgfrzNPcrqdhc3NgKHRmdvVJcS1is5xBj8R21AEoffVBVSaSYRgY+5TCWC4F0lxdExhbOLg3VVYg9/xT1AFanC6lRAbi/ng+Qhu3J39wEddsQ1F0U6eecDfpUbqZaU6E6noqWxsKbi+gSNAIXbo8ozehB83dQBnUid5edrHYyUQWlLDW8EWekSvzsxo0m1KrmifWS1x9U6+0WvIvXwvv/CUAJJ9dMgkQ/dqTPzbPjvx7rop6XM807wYosoeGQpfmJqJHGvw9X/0AoaVjpxZBG4pcEFraVY8FVm9AaHtdWvtTSsUiM+27EsQLu+ONTyC0hJ2bjOVFYF15tBAQgCqhE7WfPuGCw8jCwniQREfeRaejfObzmk4jvS/TnHk5Sc4ZxyD/7iuk/SsmMqTgVvAGwLCZyzSLogjvT8vD7imiCM+Cn3s8i76nogfN3UAMhqj5/u7kopANoqqWFZkRMjhkS/rAcHzKFlqszQJDSQHannsX1ceNg3dR7yqIqzn9ejRc85B0x2gEK3fCUn6PlRdzttAFx8Ujo7pX6UFz70fpnmEespfmNiSDGPxT8pfdWfIMAGALXOCb2+H5+kcq06g+cTy2HzoaoR31Ke9PqdNVBpS7GoZiKbPr+3G5+vGyIhhcEZn/ONri3PNOBuSAt+ujeUm/PwkwzUMHI2fE4TCUFVGNOSHRypsoiuh8/6td5rohuL0wDxmU0X2WT3sCzmslxxLBq4gL5N+Z6PWpxj+xm0Gz+7NvUXfe7eh6/0sA0vejfuw9aHvu3W7tV0cbPWjuBmIgSIPm3rxMvzOIzDQr25eSwE25TY8awKeRaQYAY/9yurwX/Htbpo8qazAmA520kI5jLf96mbZ5NfYrQ+krkzVfu6sMfjrdQJFtMyocHJSQDCJpkxzr+5ANDIUu+H9bjfpx96NuzN2q72DzhOdS3p8YCsF+9ggUPzcBeRednslDzSixai6MFcXIu3ik6jGT0uc5cvuSAgys/haG4nx4Fy1NOiNJpBzkO8AwDEr+c59qm0Qrrt75S9B0x1NoferNpN6zJxH8AQitHTD2K8/4vsn1VFXrJE9kPF/9AI+ii3BSDbXiwG2XJoqhLbXSe8pdav3L1yV8re76lTppB82iKKL+6odQfeq1Ua099xTEQAgGl2QxoxcCpkZk0Jx/61jYjjsUOacMoxMQlfylB7POTIhLWdMMAGa5axcAdLz2cQaPKLswRmPURb79xQ/p8/aRx8KoYSfF5jt2O9/WPRHieJB77onUSzYSrq4J/hXr0PqY1NBLS8+aLSIlJKGtYceXtCbXIQ6s3QbH5f9M26d3Z2LedxBMlRV0lcC870Dk3zku7msYhkHhv26C6PUnPeFvvOMpAOr/vcGVB+eNY5A/SZJu+ZevjbsPQb6+cIoVgdDWWrQ88mrWnTf4OslBxKTRAru7MBYzwLKqlbtYAWrrk//tXlKIFhVK+yAJID5CwhSJb/EKbC49HoGVPWvpuruR9hWCq26A5/NFCPyxvsd9dHdVxKAi06zLM1IjItgyDeqHik+nwti/nAZuyqC5JyuM09E0A4BF9o0FpN9DbyHKF9RkpJrylskvovXZt1VymfyJ4zX3w9isvds9REdCXja2nz0ipuyi6Y6n0PzAC9k8qpgYitRBs39ZOFBjc1P3jxaD3E7tBJgKZe8/Ccsh+wIALAfLf4dKwTKpBSl+bkJSloCmqr4AAK6mMan3Ftq7YD3yANjPOk71eNG/boL95GEAgJYHX0Jwk3ZxYcebs9Dy0MvSvpSrAw/8B+0vTIf/11VJHUemILZ7tKlMhF1cd2AYBozNAkGZedfwuyeI3SmgpDGzrGmWk5hCW2fclxFpjn9F4oy0Tpj0p9UKHVw8w/PdFVEU5UyzrGnWCwFTgmi6Ch+7Da7bL6Om8GyOjS4Fq4Lm9vgXgG6RhnsGADguPUt1v7uen9nC95NaE8mYjJLGUc6ytT31Fs2Q5E+6KmoALv/oWRTcdw1Yi1nPNO8G0GIogwEGZx76zH8NJa89FLVd6K+t2T2wGERmmgOrFEkbPvXlZpHjAOPO6wSYCvbThqPPnJdR8spk9Jn7Cqp2LKTnI/82yU/bNKhfUvsiRY+C2wNRFMEnaJ8uuL2wHLS3pkyEUVjccdXaQXjzpCngZV9p5WSbNMoJpuLkkQFIcoY6phgyu8rA5ljVtU4amfSc0yVNON/Ymv4bycE+yVaTlf+4XT1FEV0z5gIAXS3XSY705RmKpgZ8ghnNbkmIA0RRLwRME/KDthz4DxTefy01hWdyLBADQYg8j4BCkxXannqBT7JIlnOp+7MyFjP6Lw3LGIReMHEK/r0V9ZerdYiM0ShlRqxqm6qcU4ah4K4rovaRc+KRyL/jcsBi0jXNuwPyYM4YpWDIesh+MORHD6RCgqAqW0RKSMjysuXAvcE3tqS8PzFNedbOgjEakXfBqWAMBpXrkH3kcRjU9BMMBc6k9kPsBcUuL1oeeAFbB52BwLpNmtuKogjR44uZySdFigDANyRunKK8bhjypeMNrtmQ1HFnCjIGke9TKj79ycDYrFSOAqgLbgGALXTCecW5ALrXwIuMnby8YuBd8LP0fvGSmYo6ht7WkGZn042gOfwPSbQMsDtCfnCsPEvTCwFTg9g8RTYTYOVOVqLXr6rs5tK0k0oGJsTR4pZUMQ3si+LnJwDo5hJbCoS21KTdejW0tTbqMcYkDRYkaCLEa5AAQMo060Fzr4cOroqgQVmYq4Jlo5taZBlTVR8A4eZSgRXrweRYYTlkPwTWb069uKkbv//eDG3r3OWBb8kfAADPF99pbit6fIAogokVNCt8u2NlmlX703Dp6Xznc3oc2YCO4WQSxmZOngFIxYCBP/4MSwsVQXPpO4+hz1cv08mGsnlQ6m8kHbf7s0UQOQ7uT76RHg/GDppV7h167JISeqY5TUiwQDIy6RQC8m2dqD75agRT8MrcXSCTrsjBimhpg7L3seOq8wCGAd+QegYpFt5vl8KrkCgw/mDMwSAZSMvabE2cth8xBnWj70p6e8Hrx7aDzkf7qx+pCnCIHIOxaDdCEBIExIweNO8eyIM5o1ieZhWa9spVs+ht23GHwnrokOwdmwa2Iw9A5bov0O+Hd2EaLLlEGMuLYTngHxDdXuomkCxiqPfIMzIJk2MFGEYK6uTGG555S+jzfKcbgVV/AwjXQcSbSPeZK02mksmaKlcElCsY9ZfdKz2WBXOByEwzMlwEKrR2ILRhG5omTZHeT27RzhY4kXvmcTDv1Z+uVDdccT+2HX5Rem+kiPV5RfAdL9Os9CbXE36pkX7QrOgEtqss22UTEiyweTmAwZBWIaBnzo8IrPwL7f/3fqYPb5eHZpojCnBIprlr5nwAgOv6i6SCigxeROvG3I26824Pv6c/kDCrGg/y2lQ8T9OFLKX5l61J+jWhLdXgahrRMvlFNMsX8NzRpyP/dqnzovXog6R9Rxj9244+OO5+WYe923ZJOjsf+n9XrDSQNvEAYCgpoDUHUX7AOwmjnKFz3XIJAKlJh7FSsg7jqpMPmkWeBwShV8kzMgXDsmDz7BC6vOCbJKeF4PrNdGyrHzsJ1SddBcHrh+CRg+Y4yQXrYUNgquqbVNDM1TRSDS7f4ZbsOwHAbETzwy9h614j4ftlZXc+XkJIDEM86jMtzyABLHWn4AU4rjoPVX99RbdRjjvc1tr0Ct4V9YXKlUQxTqYZeqY5bbqRaVZ46O6B2SYSLLC5djA2S1qZ5liB4x4BzTSrPzvJNAdWb4ChrAimARXy+e2ZzIP78+9gqm6KkomkAslUtE99L6HNT3dJ5zyENCylSl+6H/mTrsLA2u9oVlEZONjPHgHX9aPj7pfNd4DvyQJNnaxAJmJMDHkGYzBQvTuroXXemeSNPg3GynIUPXUnTHJjktC25KVcZJma2QMzzYA08eXbO8G3dkiBqyCgfvxkVJ96Lfy/SkHr9mFjabfBRO4khiIX3LO/ReNtTyZ87+D6zai77F74l/wB874DYR1+MISWDnS8NANiIAjPXHUjpdrzb0frM2+n+UmjIavlTA/JM3JHnSS9DwlKeSEqMGcikjV1Y+9J+X2UUgtVW3Sej1mcrnxc0O1yU6Ibmeag5u09BZJdZx25YG3WtGZrdCZozOwMtzdAl8YiMjxE6sA3tNDqbtaa3qQkksD6zfDMW6x6rHmyZKMldEOPrMwW8K0dcbbsPqkcpygI6PzwazRc+7Dq8cJHbgIg2yIp5DHlM5+HdbiUXeaT0NgZXA4ILR29xjVEJwZEa6mQZ0QWhZJJJSna2lVgDAZU/v4xnONHwVBRDBgMaLr9Sfh/W53cDkjQvCcmLiB1Xw2u2QDwPKyHDwUgFZIF/lhPt+FrG1Fz+vXS9v3jNwIhThRdH8xJ+N7Vx18Br3w9ZnNzqDY355RhMBQXqCR5gtcP34/L0fb0Wyl8uvhQiSBZVcmwPKP09YfhvH40HRNEQYgKzCOTNf40suvKBGZoS43quViZa1XSU880p0RmMs17oHMETzLNDjsYiwlCOn613J57waaBVkSmmWQ9uYYWWqjCWC3Ue7I7VB83jmrmAEnzReyO0I3AT9l6t6eD5lQucF3T56Dp1ifofedNY+Jubz1oH5T83yQA0bZeWrD5DghdHmyuOCHpY9LZ9SDyDGUhKBvZ5ES+VrH5u4Y8QwvWakHRv28GALQ++05Sr6HXoT0002ysLEdwnVQ/Yt6nKur5/AlXqu4rGzppETnZShpBoN0o8++4HIzZCPesheh4cxbEYAjBv7akt9840EyzPAZFFkJnAtaVB9Ejt80WhChbOyYD3tDKWIyrVRdhxgyaOT3TnC7pB82hPVye0UUyzXYp6A2mfg5otrWXVG4Lbi88C5Yk3jAJYmaaSdY2xIWDZps1vUlJAvjWTnqR745dnLGsCH2+eUPaT09nmlM4Tk72RAWAvMvORv4dl8NxxTlwXHp2zNeYKitQ9t4TKJ4yMeH+lfpWvZikF0Mt58K/RaWmGQgXZrG7uKer85oLYD18KJUTJCLWdWhPwVRZQW+bFa238y47G/azjof9zHAjk7L3n0w4VlkO2jut4xA5HoWTr5NWuw4fShuuNE+aAs+cH5P+f6b0nvL/3lhRDOdNY1D+yZSMvwfxuBc63RB5AQwbPzDPOeOYlN9DFTTL580x/jz5fWNlmnVNc7p0uxCQyc3pkYBmV4dqmp15YKzpNXmgerpeEjTXXXYv6sdOQsdbs7vt+EH13DEyzYBiQEtTM54IvqWdts3t7moJyczyrT2r8U3lAqfyQnXmwuDMQ/Ezd9PJSCzspx+j6dMbiaG8mN4O/r016ePS2cUgPq2K5elIjS/5fSTzvdjZmPcbhND2aGtFLcJZ9t5xDc40SrmFsX84gC58+EaUvf0ojGVFAADTXv1hP214wv25br6YOpqk0hpa5DgY+5QiZ8ThAICKL16kz/FtnaqMKZcpJ6UgB7AsGKMRRQ/fBMu+AzOzXwXEHYNv75JkUHEaqFgO3Du9FU9F7EF06MZ+0upnzMJClVJAD5pTIa2gWfD40HTL4wCkwTgTS+e9Dappzs0BYzbD+91v8c3EtfYh61MjTc93VfyLVwAAmu95HjWnXdu9nRE9WQxNMwD4f/4fAIC1mjMjAYqQwQgt7TDJ2ZViWZaQLoYiqZo/neYKqZBKRperb4ahtBD5E8cj/85xGT8WZeexTFoC6mQXLfeMqG3kxAi7i7hnxMPYvxxCS0dSTgTJFrjtrhgVE19jeRG9TTKkhkIXiqfcg4rZ/5fU/hijEXljzgCgTkREBtClrz+sfmHEGGg96gB6W+jyqHzpu97/CplADAZp6/GegrSlFzrdAM+rbB1V2zlywVgtaSUgxWAIhuIC1WO2I6XzV3vOLWh/9ePo1yjlGXqmOSXSCpqVVa2sI1fVEjNVpHbUvS9TTT4zY7NINj2+AFqf+G9K+whtrpb21YOfXxQEdPz3024VumkhdEiTBsEXQMfbsyF0eeD+4jt0fvh1cscVCkmFHxHVxMpMs+2EIwAQeUZyQbPIcTG3jRwY+eZ2QBDAlebDst+gpPYfC9ZmAVvgjNKUZZpkswKiIIDbXg9j/3IUTLgyYXY5HUiTCSC5wsGeJLDyLwQ37YAoigis3iC1BW7r1LtdJYHIR2uao5C36Q2ZZiI5aJsyLeG23oW/SK9JsvX07oblgH+AsdtQ9MxdMBS6YB6yV5REwHHpWTTjnAxEDy8qpGSRMULuqJNQuWoW+sx9Fbnnn4Kix29TPc8wDNVTC51uCF2KZk4ZWpkVA6Golc5MwzqkSSaVl2jY2lVtmY/KVbPSXlHl2zpVtQbls6aCLQj/TlvkYnclujwjfdL69oU2hG1N2Dx7t4K+jlc/QsuDL2HAhq93GQ/QZBADQcBgAGMwUJmF/7fkvXMBIPinVIChvKAE1m1C4ZSPIA4/JiOyDc+XP6D53qng6ppQOPn6bu8vEv+vK9E88Xk0T3yePua4eGTC14nBEBizKaoQQhnclU2TVjMYa/KWc3VjJsD3w+8Y1PRT1HOszQJlPoNvaYfoD0LM0EXYWF4MrrYJgi8Avr5ZFVRq4Zm3GN7vl6H4yTuSfg9V9kY+h1o0XP0Q/L+uhO3EI5Ped6qwVgsGbPgaWwePBN/U2mPvkwhRFFF98tUAANuIw+H7fhl9znnjGBT966addWi9Ay5ankEwD9lLdX9X1zQDoH7N7S98AMtB+yD3n7ELVVsfex2A1NlzT8RQ4MTArQvo/X7fd9/SjVi4CV4/SIgoatRiGMuLYSwvhvUw7WY5BRPHSwmfLq+qdXpaXsYaiKFQz2eaybkgx6xha0eSOYzNAjGN6yhf3wxjaSEK7r0GjIFFzrGHRhWkixFdL4k8knXk6pnmFEk50yyKItqef5feNxS5uiXP6Jop/WCDMXre76qIwfAPjvwVOlMrViDZOeWko/GGR5Dz8xoE/8xMtTBX0yC9Rzd/GJHZW9JBL109lBgMaWYMlBY8rFykl4p7hu+H32M+F9kaWGjvghgIQsxQtsHYtxTcjnpsO/A8bD9iTMJ2vvWX3YvON2eBT6E5kFI7H6/q2fPl9wAAblty2s50MbjywOTmSFn7nYAoivB99xu9rwyYAcA9c0HkS3QiIPKwyExz1eZ5US2ze0Niw3JguBit4aoHY642kMethw/tVnMjHTWkWYhyzCGBmfXIA9D32zeT3pfQ1onOt2dDaO0EY7OAdeVlLmgOxE46ZApS2E5qoJg4tnaSdW3qsRTX2AJDWRFyzzoe9jOOBSBNhvr//hFct4wFIHlcqwjJ3QmdubqmOUVSDppVX1iTUQ5o0s80E01VpoLEZOmcMRetTyX/41Ui+APoeOUjelEgmkC+PYXgRxTDr1d6XWfdEwAAIABJREFUXnOZXU4mM86umfPR9nzi5cpYCBFNO+gMOs3/vRjkkr5gsTmpW85pFaFEZhUEj1cKmjNUOW/aqx+C6zdDkNvKi0lKYoJrpQmj4A/AM29xXHslZfv6eNl3Q4mkcXNec0FSx9AdjMUFOy3T7Pnye9RddLfqMdWgvBOKbJsmPo+Odz7L+vumDbnmREql8ux04krkC73BHpNhGJj3Cxd1bS4bAa4x+vtJkha5o0/L2rHtCTB2kmlWyDPka6HzqvNgOeAfKe/T9+tK6fvoyE05aBbcXuw4cXy4Mx85pmAoyvI005DJGHHbilc3IGmaUw+a+cbWKE0zIMmUyPtH+j/rmeb0STlo5uub6e1+P7wD1pkHvrU9pUpZJWTJINuFRE23PI62JL08lQRWb8CWfierHySDTgqFgKI/CMjnTDXpkLM+mdIgEy2Y0OFG6xNvpL3fyEwiLWLU+JEn810QQ6GY8pPKVbPQ79fp9D5jtST1w1ZmdrUkQ5FtRQW3N6PyDPNelar7iS7ubJHkuBFcswEA0DzxedRfdi92HHO55vah7XWq9vVxVw9EEY5x58B51XnJHHq3MBS5VK1zuaY2eH+MnfHPJFxds+q+7dhDJJ2mvGLB97DGXIvOt2ejecJzaHthercmqtkiGevLPnNeRt/vMteNradR/k4AwPfDsqhtiCWjsaI46jmd9GHlYm6lTRwJoCM74CWiSJauBVf9DUNJIcRgCO6P5ydcxVPi/30tgqs3oOVfL6seV64W9xREekHGT8YS28eazbEmnWhRIgZCdHIbCWPTfpxISvVMc+qkHDQrByk2zw5TVQWEDnfa/rS8/MPieth1QEm6AT4A7ew02V8Ku1UVSQQUOlUSNHdjCUrVeCYiqA3IAVqqcCQrc/4pAMNIhu3BkHZwmoT+WAxyMVtXG8uLYR7Un95nrBaIHh/9rsTcp+KCExlQiqKI0AZ1O2mhyyPLMzKVae6vup/of0iW6kgGxPvtrzG3Daz8C9sPHY2O/34a3n+coFlwe8HkZmfJmc13wPfTCno8dRfcjrrz78hKp0AyKDmvPh99FryOillSlX/F5/+h23jjSHYyjfLa0vrIq2h94g3629lVoU0e4rSSNxS6YBm6V8zndzVKXn0QtuMPg/OGiwAA3I6GqG24WjloLtOD5kxCAjVlS2hyPU5VBuO48lzaut1QUkCTdqSAM6njkbO7kS5V8WpCMgU5F7y8UsvGCGIB0Cx6KhMCURCkpimmGBnsGL1TyLXZ4MrTM80pkro8Q6G/ZGwWmAZKy3aR7RuT3p8cCGWz+t7343J6O9Xq+njuCKKY/JddmfFVBZ7y8YgKi51U8C35A5v7nAj/72ul/UQEzbVnxS6Kapv6XszmJUSeUXDPVSh6Spr9860dmplmIZljj5NpjoRo5HYcF982TRmkRmbUO974NHJzCG4fhAzKM8yD1UFzaGstGm99ImZ2nziQeBf9BlEQYJK7bZFCJiVtU9+T9qnwx46VIWiaNAWiLwDWnh0bLeLR7J61ULovdxjjW3pe50wmn/l3XwHrwfvSx62HDqFer96I1uk9ejwa/+vQph0pDYTZhnru9wLpRbJYD9oHFZ9MQdEjN8NQUoCQQtsvhjg03vwYLQLUM82ZxTRALoDmeIiCgNCWGrg/WwQg9Uwzw7LIOf4wAICxOB8VX74EQCpwT5nIoDkQ7Pmg2WAAY7OAb5GSirEyv4BsTyeKyY2fBOIzruHKAcSWe5LrFJvvAIKhlO1y92RSLwRUBEms1QJDEWnqkF6mmQz8yuXdnib411Z6W2VlkwREr6pJChlsbntd+GXKpUR5cBXc6iwl3+nGtsNGw79iXdz9Ek9G9+xvpf1oBFYizyOw8i94Fy2VD1sE39KO1sdeR/1Ybb9i8v8xFOfDkO+UHmvrpNISg9wCFQgHr2KIQ+cHczQDhlRm+YxNXmpXdLjTQhk0R+rXAstWR2/v9kJ0eyGm2/o1gsjW0/WXTkLXh1/DLRflKREDQYiBINhCJ/imVnA1jdSYPjJLzne64fkqepDQ/N+KIjrfnAUg9axOupRMlb4zfJv6GpCN4kCSJVH6exNsww6Eeb+BCFVHZxl77Hg0ijprz74Jm0uPR82o27C56jR0fTQva8eTDFSe0cNL1TsLU2WFKmj2zFuMro/mSStPZhPYJFrG6ySPodCFkpcfACDVa2w/Ygw63/0cgEZ79iSwnXQUAMC0TxVsRx0A+1nHwyd7+CcDuUZEJsiykWkGpIkCSSDEazPO0u6Bya8y09W8WAmoGD0guLomgGFgqpJcYzLSB2EPIY2gWZEVNZvC/+g0MqMix9EMczqvTxfiKAEAQkcG23Om0KSkdlTYl1KVaZZnjJHBfMcbn4DbVpfQC5pMajpenwkxxKl+DKSRB9/UhuqTr6YFVJ1vf4at+8RurQxIQTNjNYOx26gHpNDaIR07w6guPiRL3v6f6Wi67UmaZVAfZzDuBUQFk9zXVHnOGq58gN5uf20mPAvUy3lMjg3BNRsk4/yczATNgKTHLp6qnnhoDRTk+27sI3Vu8sz5EeB4yYmiqQ2B9Zvptv4YA4TWhY5krwGA21Gf+gdIA9vwgwFIcgRlZ8CeLA4URRGdH8wB39gqff+ssaQ+JQgsX9ctSVYq8B2xi4H9i1dAdHvRePNjWTueZFDaZ+6OGAdUqFxk/MvX0tumqj5Rtpc63cd29EEAAPfsharHtSa3icgbfRr6fP0KXDeOAQBYhg4Gt70u6ZiBXicjM82h2BLBTGIsLkBITtTFD5olu9VUYhKSIY7V0TLWSjpX0whDSUG4+UqG+zjsznQr08wwDPXV1cqwJKJ+3P3hrGSWdDVcTQM6Xp5B76fc017jAttnjlRgkNZsjWEgKINmUhwYsa+2JyUtdaILhdI2SvQHVJOc3HNPAiB1CVLimZN4qYtvboeh0AWGYVSZZsEfAGOzqDs4yccYkicnWtpewR9I+oJFKn0TEes72PLAf6J8Qs17D4DQ3gWhww0xRsCVDsbyYtgjmgM0XPVg1Haeb+SmCn2loJkY0JPXVh83jp63oBxAW488QLUPQcP7lFNkVUlnrmyyY/hl4WOpjb8y0B38P/8PTbc9iY7XZ4LJscYMfNgCB/imVviXRq80ZBrfkj/g0ZggapGu/KonyEZB1M7EPKg/uOoGVI+8AYLbi9Cm6vBz+2S+dbKOlAwwDuiD9hc+oI+xhU56vUsFhmVhPXworQEx7VMFAAhG1KhoEdy4HZ6vfwSAKAmCGAhmpBdCIqxHHxTuIBxXniG33E5F1sbFb0xkOSBsv6gMoLnaRhgrSsL2gHqmOWlS1zTLQXPRU3dKO6BBc3JLCv7fVqNpwrMQRRHeBT+H96sRAPQEwc3Vqvu+DAym1iP2R/5d4yAGgvD/78+UXmvef7AqsCVLpUIgiMDqDQhtqVHJGxIFzcpiB8HrV01ySGAbijgHyVgG8s1ttFW0Qc40e+YuRsdLMyB6/Sh+biKKn58gvS8Jksmyr8YsWAwEY2YHowgmp7dSSoQsMQzzCcXP3k0nQJnMNANhj0wlquJMQaBt6I19y1TbKS9yWwaeDu9PyxHcuB3GPiUwy4MF3U+Ep6fIceBqpaC54quXVH61PU3RM3dFPRZcu7HH3i+kyKKzcbJXjnHnSNtvTa/mgiCKIgSPD5sqToD7i+80t6k991aVh70S59Xnq+7z8WReWSYbfrU7k9wLTwUABJatQdtz7yC0OVwXkHfBKTvrsHZ7SLaZ3j/qwIzs17z3AABqmWUsdgwbS2stIGgVAvZ8ptlQnE9vxxvzSDMsrZXZWCSSZ9hPGQbnTVKGXiktFT0+sHk5ikY0eqY5WdKWZziukAYjctJb//1qwmIXwe1FzZk3ovOdz6OsoLI101EWHBpKC9H+0odJvU7kebQ+/VZM7TbJqrU9/VZS+zMPHYycU4+GZehgtU+zHOSKgSCqTxyP7UeMUS25ix4f/MvXavqOiqKo0vKKvoBK92oZEl39LnJclAOG1tIx39xOg2ZWzjS7Z86nz7M2C6zyRZIE9rQIQSMJKPqDGc80B1asB5NjhfWI/TUzCMruZozdFm5KY0tdZ5cIU2UFyj58ht7veDvs26vMvBsKnKrX5Z6vHsTrLrgTQocbbL4Txj4lquciCwF3HDuOatIj99vTaAXogVV/98h7BVb+hY7XZtL7xBdWCzLRENrSq7kgdP73U2wZcCoQ4mgBmRKuvlnjVWHsZx6nup/yClcPIgZ7viBqZ2JUZDcDK/8Ct6MezqvPR7+fpsF++jFxXqnTHWzHHQpAcr1g8+xwXnthRvZrGlABmE0pN0SLdM9AllZYlL+tePIMU/9yWI86kEo5koKPXwgIhK/Nygy24A+AsVpow69E8ZcoCOicMVcvGEQ6QbMvAJhNdKlEuSzqXfRbrJcBABpvfpzeDqxWW5+JXn9WKsyV7hd5l5wJvrYxqTbg/mVr0fbM2zF9FPMnjgcAmAZXaj4fieD2gs2zg7GYVe9PixYUAZHqy+7xoeb061Fz5g1R++x85zOV9Z8kzwjA/s8T0G/Je5qBlODxqeUhiM48tz73DgL/+5MWfVKNbkRwzebKqw5EciNnV7XOmSj/aJPBcmj8rDHBt3QVLIfsJ7V217gIEHsyAGAVM34xw5lmQs6JR9DbLQ+ELdCUx8Yo2oYDgMFhR/9lH9EAny1wSN8Vuw05pxyt2jayEDC0Mdze3pCf3XbHpEmRksCaDT3ym64++WrqbQ0AuWcdH3Nb1pELGAzgW6Mzu+2vf4Itg86IWub1zF+CTcXHqgoI/f9TTEY1PlPzvVMBSD7Rfeaqu+jlnHQULLKzB60r2JUyzcFQVrSdOwtlFzbfTysg+gIwVpZHrdzoZJbcf56A3FEnoXjKPajaPC8q85wujNEI2zGHwD1roWoFLyERFphiMHkHp+7AmJILmgHAVFmeUuGyKHf2i/c5SIE6Kcz2/fw/BFdvAGO1hJuUJcg0d02fg6ZbHldZnu6pxA2aRV8Axjq1f7LoD0QZaVuPOQQA0PHKjLiepErtbEBDxhBvttP++ifwfhcdlIs8n1JRDcnaDvjzS2o1lMwAplWM5bhyFL1t6lsKQ3F+0lpF0eMFm5sDxmqmQWpg7Ub6ww5tC7trqIJmOSjmtka3Rw6uV3eSE3x+yXrMmQuzbGdGKPz3zQAA7ze/RAXJ/p//R7PFHe98RvXUkUEbIC09Va77AkA4KCUFeWTpSEtSIgaSzzTbTxmGvEvOjNvdTfD6EVyzEbYj9ld1VlJeVJV2P4zFTH21hTg6s+4Qq2Uq0e/bRx4L5zXno+jpO8NPmk0wDahAv+/fhuvmiyF0eiB0ecDm5sA8ZJDmfrRgs9zuWOmeAgDmfQdK3toRKyKC14+6y++Nuq50h4IHoyeQBIZhwObnabreuD9ZAKHTTS3yCG3/9z4AILhOIS8RFAU1GjZO/mVrAADln0yBVSEN6vvtmyib9jhYuw2Vq2ej7K1/S+89eyGCG7ZlrCVwuoS21cL98fzdOtOsBSnA1ek5GJMRpa8/DPup0eNGd3FefT74hhbNmCAWkX7EYiA7k0VlNjuRe4ixXxn4+mYISa6808xvnE6DZIWYb2qD0OWhNU2M1UKVAiT28i1dhYabHo2KqUgjoF1phWxnEXeaFfx7K8pvnYrQscdQAb+WFrXs7UexdfBI+H5cjvpx96Hv16/Q57iGFmwbei7K3nsCgOSn2vb8NAQ3bEckos8PxLDJarlfalowqOmn8PaiiM1lI+C84SIUPXJzMp9XynDabTAUusIFba0dMJYVxX1d6xNv0NvOay9E4aO3RBUfsXl2+FesT+o4SPMJxmSimebaf4YL9HyyHRyQvF6caI0Joi8AweNTWY9VfPEi3J9+A2Op9Hkbb/g3bblMqBtzN+xnHY/8u69A84Tn6OOWQxQ+uMMOhP+XlWDzHTDKmi3yA2x/ZQZc14+mxXdalbmiP6jK9ibCNKACCHExg21uRx0gCDDtPQCh7bVU5tI8+UW6jfKCxVgt9LwLrtykjyNVymc+j443Z8G3eAV9jGSIcy88DQzDwHnlKDRPfF46LsV3ylhZAQRDCG3cAVNVX9VzjM0SN+CKVU3dUyiPLX/SVTCWFqHpjqeiJmS+73+Dd+5iuBqbgIvPj9xNQrQm5YncDwwFTs3iGlI8I3SqBwIyMSXeqoDk6U2I9D4lLkD5d46jEyXXLZeg/YUPYKwspwGpsawIKCtCzklHwbvgF3RNnwPzfgPR7wdtHXQ2qCHXnF3IzSMbGNMoSNPZdbAeuT8AKUaxnzY85nZMjhWi14+8i06He86PqufEUJYs51LINFsO2gcQBARWrKOuRHGhhYCxr/fGCknWx9U2qty3WFt0prluzASIbq/kb66wYiTXccZihvvz7+BfthovlB9cuWXvs8KBUabg+M1Vm+Y+kfH9ZoikRtamu55B4H9/os/Xr1C3BCXKoExp7QOAdmGrv+xeANIAZih0RnVnAwDvoqXIG3161OMN1zykeVxk2b/jlY9SC5rl4zcUSkFzqt0M2fw8zYGaFNgF1myM2z1L5Plw8wmWAXgeIsfFDIISOYuIooiuGXNVP05AClZFr1/1/7ENOxC2YQfC/0c4uI/MBgKSv2bkrNJYHp5YFD54A2rOuF51ESDnRGhuR9dHc+mSeEjOivt+XQXToH4wFufLk6/kM7yk4NS3dBUYixm2CCcJrkaS3RgrSsDYrBB9AYgch863ZoWPT6FdVgbefA9KGXJGHI7A6r/hnbdYklnk5tBZPZtAS22qrAAgNfBgI7r7ib4AOl6bCfO+g+AYe6bqOeuwzBTcpErZu49B8AeRd97JcH8uFctpNb+RnkgvSAvKOumy6U9J7bKTWF415Du1V5PkATOq06QgHVvTrU/AcfFI+H9brWqQwtc3I7hhG8yDwxaOEAQYFL+PgsnXw3XjGBic0Rn/3AtPpd0fg+s2g6tvjjlpFzw++JetQXDtRliHHQjrIfsl/LypQGpLUlrm7oUM2PA1AGDr4JEAogtwdXoXBkcu2CKXqqmasaYJgmIlXBRFiIEQXLdfBsZklDz5BYFObMVgCMiGptmSQtAs64+Df29NKmgmq7lMrI6AkLr+sc5chLbWQvCEV30ZqzmsafaGxyTe7YXvl5Uq2VvwL3kV22xE6zNvwXXjGIx6/IF8R05O6pmPeJ9HEJnmSVNYAL07aPb9+DvA8eiaPgeiL1qLGjlwdc2cj9xzT5K+qBE6ItaVB0NxPoJ/hYNmQ3kx+LomdL73VVTQLAZDMatJ47VV9n67FKIgwH7KMNXjgjdAgxXSnjNRY5ZIzbNSG6uF0B5f7kGCUdaZB8hFboLHB9PAvqqOb9JGrLbeSHHOPXN+RNOtT9AgoPj5iWi682mp+EkUwWgcr/XgfVH2wdOov2Si5jGyztwov0jlbNay/2ApGy1ruSNhzGZ6HjxzfwLX1Ibas2+C5eB90XfB6ylZzgGgn6HufKkboXLFAQh7bxv7loK1WiD6AlE2Y4zVDOe1F6Lj9Zmq5SzepdYVZxqi9+XqmmDaqz+6PlkgHY9i8tl/6YdRxZ0kaAZAu/tVrvwUYpDD9sOl9sBd07+iQbOxshzWQ/ZD6esP99hniYd9ZLjYjaxGCRFBM111SDOxSf7PlqF7JVwdIrAFjqjJvPuzRfAv+UM6pghvZb61XXG7Q9WchsnNgej2ov7y+9D/l+nSNvL/zaiQqDAMQ5dFI8kddRIar3+E3t+2/ygMbPxRcyLeNWMumidNkT5HoRMD1n/ZI77CqgZLuyEGWa5EVshIfYZO78U0oA8NmrmaBpTf/h/UfbIYfWZLq9Ki2wvwvFTfIf9kRI8PTJ5dSlwFQlGJpp5AnWmOP+YR27lkV5eTkWcAgLF/ObgddVFFiSTTTFaFGbm+p+HKB5Arj7GC20udzvj6FhiK8+G45Ez4GxuFvJKSjHoFi7yA5klTenZA7ibJFQLKVacix0Ut90dt2tiKxhsfRf2VD0AMBKMGJNaRC0NZMa36zDltOPotehOmwZUQvD403v4kzUwC0d67yiBcGdRFanDqxtytGRAqC9BIYVwiTTMf8QU29otucwwAuXLAn6iXOwnSDYVO2jo5uGYjTHv1j95YEDS7FioDTmrtJWeLiLVc4y3SZC3W/8s0sG/MY2QddtVSeMmL90e9f9nbj8Kyr9rntORVyZM4sPIvcNUNkt1OMISu976UHv9jPTwLf5Uql1OQZySaqHDVjQDLwlhWSDXNtefeqt6HzYrCR2/BwIYfwDAMCh+5SfL87OGmDsqg2bvwV9qxj1HIRUwD+8J2lDp7bhxQQbXJ5PMbK0okqYqM0ntTDIRSblPbU5DfmOgPgqtpQKf8/2+88VEAgLGxDbWj7wKfYnMh4n4TKyDVwpDvVBUCcvXNqtUr5XVEcHshdLhhG3E4AOl7zDeE9ddl7z4m7VNRVEtWiEijp0QwLBvV5IGslESivP4JLR3wffcbuNrGqMlI99kz5BnlHzyN/ks/1Bua7AaYqvqAk60kg39LSTi/QgbXNmUaAClRR4vU5d9TcO0mgOepfV1PwpjDyaZE3zvGagaMhuRrHZKQZwBSMSDf2qGKZcRgiGaaiYZay4XD+8Pv9Hbwz62wDBmsqlN67bXXbEcccUTRkUceWbR06VLNWcikSZPyqqqqqP3TmDFjXMOHDy8cPnx4ocvlKvv00097prCoB0guaCYBaYiT/P2SGJi985eg+aGXIHRFBL3BkOqLWvLS/TAU5cN65P4IrvobXdPnoG3qNPp8ZIctZSZW1f1sSw1aIjqSaX4Uf4AGayTTnEieEal5NEYUPRHy75AaO8SUWfA83J8tooOwocAJ68H7AAACq/+G0OVRLa0XPioFfZFZMkCaRZOW2iFFS26YjGEnA7nKP1bAqRzk8yeOR+l/H1E933z3s/S2URGoxSPnBMkxouONTwAA1qOlJSbvwnBHPo+cuWNSaKnK5sWefApdHskfVxTBGI3S9zMYot2OCIxNaoJBdac3jEH/n6Zp7TKjGOSMaGDZWtUyfzyje0AKrgzFkt481vkPrFhPJ4ypFFf2NOQ3xtU0YNtBF6DpzqdVK0Ommib4vvuNtntPFq6pFawzNyUtoqHAAb6+GTtGXIGuWQuxbf9RqueVMiRiHZcjB811Y+9RHWPOcYfBPHSwqtCSDCCpTFhKpt4D501j4LplLABg+8EXILgpus4jMmkQ2rQD2w48Hw1Xa0vW0mVXmWz1NGxuTtxkgU7vwVTVF1yNNIHU8mEnjVUMBc5wkbr8WyV2mNYknZm6RQpe0AzDgHXkJp9pDiWXaTbkOxBYsV41qeDrm6XVToahmWYtrb9yzAptrYZ1+EH0PLa0tDAvvfSS/aeffmp+//3322677bYorWNtbS27YcMG1QHOmDGjfcmSJS2LFi1qcTgcwsiRI3tNd5WULOc6P5gD/9JVmsv9WgT/3BIV9FoPH6pyciDBkFJ0rgzyIgPQgKJhgnJA6fp4HtpfmI4dwy9D2wvT6eOhbbXYVHwsvN9KhXVK9w9Wrh6NlWkWvH74f1+rGlTZIhfM+2p3kQq7R2h/4f2/rkLDNQ+hfpyUtTUUOMEWusBYzODqmyWXBEVwSCyRumZ9o7k/IlsJrg37VTIWM9jcHOSed3L4uGIMiGxe+Dzn33k5dRMBJFsa1bb25P7nke+Vc+IRgMFA3QWAsD7KlEIFe6SmN7SjnhZ3tZMOj3LwSLSlkascTA9ZyyXCNKACpn2q0DVzvqpQlLEkPp6cUyV5kfXgfVWPE+syINwuO6WGMT0M+Y15vwlPlvjm6CK+SK/pwNqNMd1wxGAInW/Oivq/JoKu5qzdhMbr/hX1vPIa5ZalM5aDpMms0qaK/KYMBQ7VNYMMIIlWQ5TkjjoJRQ/fBNftl8LYT9LXdrz8UdR25NjyxpwBmIwIrJGuf975S8A3t0m6zRjnq/7qh1Az6jb4Fq+Aabska+Hqm7Gp+Fj4fl2F5vvDNojJJEJ0dHYlTAMqAFEEt70uPAYyTJQlJJNjpdae5LfKNUiTY+WY11MoM83JwOblgKtrQtcnC1SabS3ISmOiTLOWmxLf3iUlkWxWdLw1G1xDC804s85ccI2t8Mxfgq4Zc2Gq6gvYLBC6vLAMHUz3sWTJEvPRRx8dtFgsGDx4MO92u1m/X31Nf+ihh/Luv/9+zYv27NmzrSNGjAjYbL3n+pNS0EwK0rQusKTzlmrnNovKqs067EAYy4pU/pgk66dc7lRZrEUMkMouY8oCNqXuufWRsE8qaaHZ+b60PCz4AqoMpyHfoaqSV9Lx309Rc8b16Jz2JX1swLovYgehcuY2VtBMZBm0pSZpS11eBL6+JTpoHizJNQTZXzFSx0u2DSky0cTyTplljTXJUWYlGYNBnaWMcAgwlmln16OIyACaKitgGqTO7ASWSxlyY6W2zEWLyB/99kMuxPajLpEOVV7aLnzsNmm/FeomIIRUCg8zCWMwIG/UyQht2qHyF47MhGtReP916DPv1ShP2YpZ/4e8S88CIP1eRFGUHEmSCMSzAQ3eFfIRrQHA//s6+H9fCwAIrNuE6hFXYtvQczUDQdp6PMUl1bwxZ6By7ecxn1fKM9qek5wstHynS16ZDEDKygaWrYFvyR8QBSGtoJlgcOSicsVM2E48UjWxpMfW3gXTPypR8sJ9MJYVqVZsqk+9FtuGnouGKydD5Hk0P/QSDapFjoPn80XwL16B2lG3oeyuFyEKAq2e73j1Y0nbL2MeMhg6Or0JU5U0rgRW/hWuOxBFqZ5JUYdkcDlogohIHfn6ZrCFzuxYzqXYdZDNy4V33mI03vBvbD9iDJ0EaCYUSCFggkwzG1GQ7Bh3DoqeuB2ApGcW2jpRd8lEGpsIXV5sG3IO6i+VmmU5xo8CfAFYDtpHVcPW2trK5ufn04NyOBywQO2wAAAMuUlEQVRCc3MzjSvXr19v8Hg8zCGHHKLZFeX999+3jR07tle1I0wYNPPO6GVxLfF88bN3R7UOhsEA7ze/wP7PE2AoL0b+bZJ8gcozFPoeVhE0B9ZsRN2YCWie/AId0Bzjz4N5v4G0450oCGi6S+q4Zh46OLqATsazIDzIhHbUI7BsjSp4MlaUICh/GfmOLtWPLSRLPXw/LAMAlL79aFxNEmOzAAaDammFa2yls7fIgkPa4U0Q4f70G3Bba2EoLUTty3eh3+JpUd63kUgd/wKa3tDK4DuW1jLqs0T+8AwG9Jn/Giq+eDFpDalyn6wjF+ahe0V5RBNM/ZMPmk0a1e5kBYBvaYd5yF5wXXsBgNjZg52ZTTPvGw56y959DFWb5yXVgIQxGTWXEI2lhXBcLDkBCK2dknOLIOwyfrvkN8Yp9MDtU98DACo5AQDPF9+h5ozrEapuoJMfvrE1nD0Pcdi6/yh0zZyPhiukFZrCh29K7VgYBsYIW0XXHZfT21qZa5L9pff7lNAJPnHNqD33VtSNvovaMqYTNBPMe/VHaFsdHRS52kZ4v/sNoa011IHDfvYIVaKA21EPvrEVnjk/ILhmIzpenoHqE66UnquL7lDY8drH6PpgDgC1Z75pcCWKNdqg6+jsypDajq6P5kFo7UD7WKmbav0lE9H5oeSW4hh/HiwH/IP+NlsefgliMASuLrZjTaZJOdPsUMdcLQ+8AM/CX1E94ko03vBvcI2tCMrxDi0ETOAipGwwVvLqgyh+9m6YB/VTbRNc9Xe4G2FEtt68n7S6HnnOCgoKhPb2djrod3Z2skVFRfTFkydPdt16663mhoaGEkTEm62trczatWtNJ598cuLucrsQCYNmrjz6i0WMriMxVVag5MX7Ufq2VOzjnb8EAGA/6zgMWDULOScdKb1pnh0VX7yI/kvDLayVwVbozy3wfvsrOl79GL6flgNmEwonXwfb8YfD9+sqhKobsP3Q0QAkDU68JRai4fF89QN2HCsNlMrAwv7PExBcuxFcTSN2DL8MO44dB1EQENy4HV0fzZM+rzyY55x4ZLxTJQ3OZYXgquUBXxSxbcg5qD1X8kIl2umip+5E6esP089sH3ls+Bz2LQVf7IJ57yqVKJ9kZa1H7C87kBSg/YXpaLhaKrxz3TpWdSzK5WNTv+TslSz7DULpO4/RgkZjv1JYD9kPtjQtzKo2zYXBmQdTVR8AgPP60XBecwF9ni1MvoI9Vkag7vJ7pcpeNvz9UbpOEF04gKg21NlEaXFl3mdgXI12srC0kLWDujFo6WJ3BuT/pQze/L9JbiZa/4ftB1+AptvCLkOtj78BURDQNmUa+PpmWkAIgPqCpwpbGJ6YG1x5GFizCI5x59BiRDK5Lbj3GlU2pd/iaei//GN633XzJfS2T1Ekk4pGPxJjnxKIXh8arnwA24+4GPVXPYi60XchuHoDLUrMv+WSmK9vvDXcbdW3eAXqL78vaptYHVvtpw9P2HRBR2dXg4wf5DfoOT5s0UYmsvazJEcfcr0Nrt2ErlkLEdpcDdOAPlk5zlQdOiJrpjqnf4Xgekl+4v70G2wbcg52yKusyRYCOi7/J/IuOh1V2xci7/xT4r+/hq7ZUFwA5/Wj4ftpOURRpNf34cOHB3/55RdzMBjEli1bDLm5uYLVKjtyiCK2bt1qvu+++/hLLrmEa2hoYK699lo66E+fPt12zjnn+Aw9XIifaRJOgfxDqmD5U+2pzCkLzyLIu0gKuJSNIHOOOyxqu8hAzCIXxBXcdw1aHw/7ZXe+8zlsIw4Hm5uDnJOPQscrH2H7weHAq/zDZ2jRWRQmo0qTKHp8MJQWwjk+XAhkPVTyPSX75CFlkPy/rFTvi2WTGljM+wyE+5NvwFgt1AUksGI9miY8C//ydWByrKr3BwDXLWPR8ao0KEsZruiVjNLXpMKfiq9eAgBsLj8BAKgVTKTzhnK2ymq0zybYzzwepqpwkJl75nEQ2rvg/nhe2pnZ3NGnqbLLrlvGwnrUAcg55Whw2+ro/ysTFezeuVKRQlDRll0ZYLuuuxCd0z5H6O9tO7ULmPJCZOyfGY9YkqnunPYFArLsw7L/rrHMTuz0SHV77vmnwP3Fd2BMJuTfcxU2v/Au+o4YhsDKv2nWk1e4tbg//QZcQ4uqcIUQ7/scj/6L30P16deB21YH1iEVE7KuPAhtXWia8GzYmSNi0DKUFqkmsLG6LcbqAJkMRFLkIQ0YtlTT56iWWrnaYzSoJFTKroa1o26jtwseuA6tj74GAPB9v0zzvUU+863OdXR6msjxQ3DaqSUkgaxQKpMUrY+/Ab6uSaq3ycZxpugFHVkEKHr94euCgqa7nkHnjLnSnQTyDPM+VVEOWLHIOfkodL4jydlIcxhDoQv5E8fD/ek3ELs8MJQXA41+FBYWitddd53nmGOOKWIYBlOnTu1YtmyZcf78+ZYJEyYE582bFygqKmoFgKqqqrLnnnuOBjcffPCB7eWXX06tScYuABOvBfVQm0uc+vQz6P/CbAT7l8K0oxHG1k40TboU/kP3jrtjx4yFMDa0ofXWC1QyjIRwPEoeeAOWTdJgK+RY0XL7aPgPHgyEOJQ+8AbMm+VgdFAfND52DWxL18E1bT7arzgD5o3VYHgBlnVb4R2+P1zvzae79h6+L1ruGK1aymACIZTc/zrM2+oh2CwIDuoD07Z6GGTtk+/QvWFb/he8Rw9Fyx0XJTx8+8Lf4ZyxkDZIYAIhQBQhyhrPwH4D0HL3xeoXiSKKH34LYBg0T7oUXVwQubmSpML282o4Zv+IxoevgmgPB+3WZetR/PQH9H7NaxPAiCKYIAeuvBCMP4jix6aBK3ai9dYLkz79AMB4/Ch6ajo8JxwM7wmHpPTaZMh/eTb4gjx0jjk58cYKrH9sgOvduRCtZpg3qfWxrTecC8+Jh9L75vXbAJZBcO/+sK74G6635qB+yi2ay1hut5ue7x5DFFH80FsQnHa03DUmM/sUBJQ88F8Y6yUJhPeYA9A+7gzAkH7wljF4ASWT34Cpugn+A/eK+szKc27aWoeyCS9DsFkQ2G8AQhVFcHy5BHxeDv0dktuhvsWof/rGhMuRschZvArO6QvQPPEShKoqYP1jA/Jf+xxMiANEEXx+HpruvxxCgQO2JavgmP0jGp65KeoaVjD1Y9iXrAbvtMPQ4UH7Jaega9RxMd41MYzbh+LHpsGysZp+3uDACjAhDk0PXQnIAbnjw4VgvX4E9huAouc/QnBAGYQcK8zb6uE9aiisf/wNo2yvF6wsQ8Pj18K6ejPyX54NhgEMHeEB2T+kCqbqJjT+azy4Pj1fELWnkZXryh5O3qwf4Jj1A9ynHoGa846BgwOcHy5E7qLlCA4oQ8MT10sBpXw9smyohmA2gQ2G0PjweASGVCV+k27C+AIovecV+I4ago5L4md5AcC0qQYFr8yG54RDkf/O1+BduQAv0Gshgc/LAcPx4PPz0PD4tRDTTHIpYwnBYkbDE9ch/40v0XX20QgMHQjzphoEhkryjIL35qPP8MORO/ZMtLe38wzD0Bm33W732u12epBer9caCAQs+fn5HQDg8XhsoVDI7HK5YgbKIi9gy6DT7QO3LkgvM5IF4gbNhx12mPjss89ixIgR2TsiHXz//ff6Oc8i+vnOPvo5zy76+c4++jnPLvr57nk8C36G+5MFKH39YTQ2NoZKSkqiiydkYgTNJpfLFbMxRm8ImtNL1+jo6Ojo6Ojo6Owx2IYdiJYHXoDQ5YEY4qRW5DFgBZHn/AED2YYPBA0sIMR7DeIkcXcV9KBZR0dHR0dHR0cnLmyeHdbhB2HHsZejo62d9bDGuJqQLoEzdbAGOwtGcAtcTg5r8DSDifsahmW3ZvSgM4weNOvo6Ojo6Ojo6CSkZMo9AACGYf4nimK0y4MChmFGApgKwADgWVEUH+v5I+xZ9KBZR0dHR0dHR0cno4ii+DWAr3f2cWSSXaDMXkdHR0dHR0dHR2fXRg+adXR0dHR0dHR0dBKgB806Ojo6Ojo6Ojo6CYjr08wwTBMAD4CYXnw6PUIR9HOeTfTznX30c55d9POdffRznl30851dKkVR3OO6IsUNmgGAYZjfE1VI6mQW/ZxnF/18Zx/9nGcX/XxnH/2cZxf9fOtkA12eoaOjo6Ojo6Ojo5MAPWjW0dHR0dHR0dHRSUAyQfPrPX4UOpHo5zy76Oc7++jnPLvo5zv76Oc8u+jnW6fHSahp1tHR0dHR0dHR0dnT0eUZOjo6Ojo6Ojo6OgnQg2YdHR0dHR0dHR2dBOhBs46Ojo6Ojo6Ojk4C9KBZR0dHR0dHR0dHJwF60Kyjo6Ojo6Ojo6OTgP8HmVozGn2M2ToAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Backtesting Mean Worst Realization Strategy\n",
    "############################################################\n",
    "\n",
    "assets = returns.columns.tolist()\n",
    "weights = models['WR']\n",
    "\n",
    "dd, cagr, sharpe = backtest(assets_prices,\n",
    "                            AssetAllocation,\n",
    "                            start=start,\n",
    "                            end=end,\n",
    "                            plot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max Drawdown: 28.66%\n",
      "CAGR: 7.03%\n",
      "Sharpe: 0.681\n"
     ]
    }
   ],
   "source": [
    "############################################################\n",
    "# Show Worst Realization Strategy Stats \n",
    "############################################################\n",
    "\n",
    "print(f\"Max Drawdown: {dd:.2f}%\")\n",
    "print(f\"CAGR: {cagr:.2f}%\")\n",
    "print(f\"Sharpe: {sharpe:.3f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x7ff1338e4bb0>],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Plotting the composition of the last WR portfolio\n",
    "############################################################\n",
    "\n",
    "w = pd.DataFrame(models['WR'].iloc[-1,:])\n",
    "\n",
    "# We need matplotlib >= 3.3.0 to use this function\n",
    "#ax = rp.plot_pie(w=w, title='Sharpe Mean WR', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "#                 height=6, width=10, ax=None)\n",
    "\n",
    "w.plot.pie(subplots=True, figsize=(8, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>weights</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Industry</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Consumer Discretionary</th>\n",
       "      <td>20.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Consumer Staples</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energy</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Financials</th>\n",
       "      <td>8.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health Care</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health care</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Industrials</th>\n",
       "      <td>20.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information Technology</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Materials</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Telecommunications Services</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utilities</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             weights\n",
       "Industry                            \n",
       "Consumer Discretionary      20.0000%\n",
       "Consumer Staples            10.0000%\n",
       "Energy                       3.0000%\n",
       "Financials                   8.0000%\n",
       "Health Care                  3.0000%\n",
       "Health care                 10.0000%\n",
       "Industrials                 20.0000%\n",
       "Information Technology      10.0000%\n",
       "Materials                    3.0000%\n",
       "Telecommunications Services 10.0000%\n",
       "Utilities                    3.0000%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Composition per Industry\n",
    "############################################################\n",
    "\n",
    "w_classes = pd.concat([asset_classes.set_index('Assets'), w], axis=1)\n",
    "w_classes = w_classes.groupby(['Industry']).sum()\n",
    "w_classes.columns = ['weights']\n",
    "display(w_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Backtesting Mean CDaR Strategy\n",
    "############################################################\n",
    "\n",
    "assets = returns.columns.tolist()\n",
    "weights = models['CDaR']\n",
    "\n",
    "dd, cagr, sharpe = backtest(assets_prices,\n",
    "                            AssetAllocation,\n",
    "                            start=start,\n",
    "                            end=end,\n",
    "                            plot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max Drawdown: 31.24%\n",
      "CAGR: 4.60%\n",
      "Sharpe: 0.622\n"
     ]
    }
   ],
   "source": [
    "############################################################\n",
    "# Show CDaR Strategy Stats \n",
    "############################################################\n",
    "\n",
    "print(f\"Max Drawdown: {dd:.2f}%\")\n",
    "print(f\"CAGR: {cagr:.2f}%\")\n",
    "print(f\"Sharpe: {sharpe:.3f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x7ff14a4a2ca0>],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Plotting the composition of the last CDaR portfolio\n",
    "############################################################\n",
    "\n",
    "w = pd.DataFrame(models['CDaR'].iloc[-1,:])\n",
    "\n",
    "# We need matplotlib >= 3.3.0 to use this function\n",
    "#ax = rp.plot_pie(w=w, title='Sharpe Mean CDaR', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "#                 height=6, width=10, ax=None)\n",
    "\n",
    "w.plot.pie(subplots=True, figsize=(8, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>weights</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Industry</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Consumer Discretionary</th>\n",
       "      <td>10.9130%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Consumer Staples</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energy</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Financials</th>\n",
       "      <td>20.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health Care</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health care</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Industrials</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information Technology</th>\n",
       "      <td>10.0870%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Materials</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Telecommunications Services</th>\n",
       "      <td>10.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utilities</th>\n",
       "      <td>3.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             weights\n",
       "Industry                            \n",
       "Consumer Discretionary      10.9130%\n",
       "Consumer Staples            10.0000%\n",
       "Energy                       3.0000%\n",
       "Financials                  20.0000%\n",
       "Health Care                 10.0000%\n",
       "Health care                 10.0000%\n",
       "Industrials                 10.0000%\n",
       "Information Technology      10.0870%\n",
       "Materials                    3.0000%\n",
       "Telecommunications Services 10.0000%\n",
       "Utilities                    3.0000%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "############################################################\n",
    "# Composition per Industry\n",
    "############################################################\n",
    "\n",
    "w_classes = pd.concat([asset_classes.set_index('Assets'), w], axis=1)\n",
    "w_classes = w_classes.groupby(['Industry']).sum()\n",
    "w_classes.columns = ['weights']\n",
    "display(w_classes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Conclusion\n",
    "\n",
    "In this example, the best strategy in terms of performance is __WR__ . The ranking of strategies in base of performance follows:\n",
    "\n",
    "1. WR (7.03%): Worst Scenario or Minimax Model.\n",
    "1. SPY (6.53%): Buy and Hold SPY.\n",
    "1. CVaR (5.73%): Conditional Value at Risk.\n",
    "1. MV (5.68%): Mean Variance.\n",
    "1. CDaR (4.60%): Conditional Drawdown at Risk.\n",
    "\n",
    "On the other hand, the best strategy in terms of Sharpe Ratio is __MV__ . The ranking of strategies in base of Sharpe Ratio follows:\n",
    "\n",
    "1. MV (0.701): Mean Variance.\n",
    "1. CVaR (0.694): Conditional Value at Risk.\n",
    "1. WR (0.681): Worst Scenario or Minimax Model.\n",
    "1. SPY (0.679): Buy and Hold SPY.\n",
    "1. CDaR (0.622): Conditional Drawdown at Risk."
   ]
  }
 ],
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